create a website

A Bayesian change point modeling approach to identify local temperature changes related to urbanization. (2023). Moon, T ; Williams, G P ; Arthur, D ; Berrett, C ; Gurney, B.
In: Environmetrics.
RePEc:wly:envmet:v:34:y:2023:i:3:n:e2794.

Full description at Econpapers || Download paper

Cited: 0

Citations received by this document

Cites: 71

References cited by this document

Cocites: 58

Documents which have cited the same bibliography

Coauthors: 0

Authors who have wrote about the same topic

Citations

Citations received by this document

    This document has not been cited yet.

References

References cited by this document

  1. Arnfield, A. J. (2003). Two decades of urban climate research: a review of turbulence, exchanges of energy and water, and the urban heat island. International Journal of Climatology, 23(1), 1–26. https://doi.org/10.1002/joc.859.
    Paper not yet in RePEc: Add citation now
  2. Arthur, D. B. (2018). A Bayesian spatio‐temporal change point model for identifying urban heat islands in Utah (Master's thesis). Brigham Young University.
    Paper not yet in RePEc: Add citation now
  3. Balling, R. C., Jr., Vose, R. S., & Weber, G.‐R. (1998). Analysis of long‐term European temperature records: 1751‐1995. Climate Research, 10(3), 193–200.
    Paper not yet in RePEc: Add citation now
  4. Balling, R., Jr., & Brazel, S. (1988). High‐resolution surface temperature patterns in a complex urban terrain. Photogrammetric Engineering and Remote Sensing, 54, 1289–1293.
    Paper not yet in RePEc: Add citation now
  5. Bassett, R., Young, P. J., Blair, G. S., Cai, X.‐M., & Chapman, L. (2020). Urbanisation's contribution to climate warming in Great Britain. Environmental Research Letters, 15(11), 114014. https://doi.org/10.1088/1748‐9326/abbb51.
    Paper not yet in RePEc: Add citation now
  6. Beaulieu, C., Killick, R., Ireland, D., & Norwood, B. (2020). Considering long‐memory when testing for changepoints in surface temperature: A classification approach based on the time‐varying spectrum. Environmetrics, 31, e2568.
    Paper not yet in RePEc: Add citation now
  7. Bornstein, R. D. (1968). Observations of the urban heat island effect in New York City. Journal of Applied Meteorology and Climatology, 7(4), 575–582.
    Paper not yet in RePEc: Add citation now
  8. Bowler, D. E., Buyung‐Ali, L., Knight, T. M., & Pullin, A. S. (2010). Urban greening to cool towns and cities: A systematic review of the empirical evidence. Landscape and Urban Planning, 97(3), 147–155. https://www.sciencedirect.com/science/article/pii/S0169204610001234.
    Paper not yet in RePEc: Add citation now
  9. Box, J. E. (2002). Survey of Greenland instrumental temperature records: 1873–2001. International Journal of Climatology: A Journal of the Royal Meteorological Society, 22(15), 1829–1847.
    Paper not yet in RePEc: Add citation now
  10. Calder, C. A., Holloman, C., & Higdon, D. (2002). Exploring space‐time structure in ozone concentration using a dynamic process convolution model. In C. Gatsonis, R. E. Kass, A. Carriquiry, A. Gelman, D. Higdon, D. K. Pauler, & I. Verdinelli (Eds.), Lecture notes in statistics (Vol. 167, pp. 165–176). Springer.
    Paper not yet in RePEc: Add citation now
  11. Chauveau, D., & Vandekerkhove, P. (2002). Improving convergence of the Hastings‐Metropolis algorithm with an adaptive proposal. Scandinavian Journal of Statistics, 29, 13–29.

  12. Christy, J. R., Norris, W. B., Redmond, K., & Gallo, K. P. (2006). Methodology and results of calculating central California surface temperature trends: Evidence of human‐induced climate change? Journal of Climate, 19(4), 548–563.
    Paper not yet in RePEc: Add citation now
  13. Congdon, P. (2005). Bayesian predictive model comparison via parallel sampling. Computational Statistics and Data Analysis, 48, 735–753.

  14. Cressie, N., & Johanneson, G. (2008). Fixed rank kriging for very large spatial data sets. Journal of the Royal Statistical Society, 70, 209–226.

  15. Erdman, C., & Emerson, J. W. (2007). bcp: An R package for performing a Bayesian analysis of change point problems. Journal of Statistical Software, 23(3), 1–13.

  16. Flegal, J. M., Hughes, J., Vats, D., & Dai, N. (2020). mcmcse: Monte Carlo Standard Errors for MCMC. R package version 1.4‐1.
    Paper not yet in RePEc: Add citation now
  17. Friel, N., & Wyse, J. (2012). Estimating the evidence—A review. Statistica Neerlandica, 66(3), 288–308.

  18. Fujibe, F., & Ishihara, K. (2010). Possible urban bias in gridded climate temperature data over the Japan area. SOLA, 6, 61–64.
    Paper not yet in RePEc: Add citation now
  19. Furgale, P., Barfoot, T. D., & Sibley, G. (2012). Continuous‐time batch estimation using temporal basis functions. Proceedings of the 2012 IEEE International Conference on Robotics and Automation (pp. 2088–2095).
    Paper not yet in RePEc: Add citation now
  20. Geweke, J. (1992). Evaluating the accuracy of sampling‐based approaches to calculating posterior moments. Bayesian Statistics, 4, 169–193.
    Paper not yet in RePEc: Add citation now
  21. Gil‐Alana, L. A. (2015). Linear and segmented trends in sea surface temperature data. Journal of Applied Statistics, 42, 1531–1546.
    Paper not yet in RePEc: Add citation now
  22. Gong, L., & Flegal, J. M. (2016). A practical sequential stopping rule for high‐dimensional Markov chain Monte Carlo. Journal of Computational and Graphical Statistics, 25, 684–700.
    Paper not yet in RePEc: Add citation now
  23. Green, P. (1995). Reversible jump Markov chain Monte Carlo computation and Bayesian model determination. Biometrika, 82, 711–732.
    Paper not yet in RePEc: Add citation now
  24. Haario, H., Saksman, E., & Tamminen, J. (2005). Component wise adaptation for high dimensional MCMC. Computational Statistics, 20, 265–273.
    Paper not yet in RePEc: Add citation now
  25. Haimberger, L., Tavolato, C., & Sperka, S. (2012). Homogenization of the global radiosonde temperature dataset through combined comparison with reanalysis background series and neighboring stations. Journal of Climate, 25(23), 8108–8131. https://journals.ametsoc.org/view/journals/clim/25/23/jcli‐d‐11‐00668.1.xml.
    Paper not yet in RePEc: Add citation now
  26. Hartz, D., Prashad, L., Hedquist, B., Golden, J., & Brazel, A. (2006). Linking satellite images and hand‐held infrared thermography to observed neighborhood climate conditions. Remote Sensing of Environment, 104, 190–200.
    Paper not yet in RePEc: Add citation now
  27. Hastie, D. I., & Green, P. J. (2012). Model choice using reversible jump Markov chain Monte Carlo. Statistica Neerlandica, 66(3), 309–338. https://doi.org/10.1111/j.1467‐9574.2012.00516.x.

  28. Higdon, D. (2002). Space and space‐time modeling using process convolutions. In C. W. Anderson, V. Barnett, P. C. Chatwin, & A. H. El‐Shaarawi (Eds.), Quantitative methods for current environmental issues (pp. 37–56). Springer.
    Paper not yet in RePEc: Add citation now
  29. Hoffman, P., Krueger, O., & Schlunzen, K. H. (2012). A statistical model for the urban heat island and its application to a climate change scenario. International Journal of Climatology, 32, 1238–1248.
    Paper not yet in RePEc: Add citation now
  30. Imhoff, M. L., Zhang, P., Wolfe, R. E., & Bounoua, L. (2010). Remote sensing of the urban heat island effect across biomes in the continental USA. Remote Sensing of Environment, 114(3), 504–513. https://www.sciencedirect.com/science/article/pii/S0034425709003174.
    Paper not yet in RePEc: Add citation now
  31. Jandhyala, V. K., Fotopoulos, S. B., & Evaggelopoulos, N. (1999). Change‐point methods for Weibull models with applications to detection of trends in extreme temperatures. Environmetrics, 10, 547–564.
    Paper not yet in RePEc: Add citation now
  32. Jarušková, D., & Antoch, J. (2020). Changepoint analysis of Klementinum temperature series. Environmetrics, 31, e2570.

  33. Jarušková, D., & Rencová, M. (2007). Analysis of annual maximal and minimal temperatures for some European cities by change point methods. Environmetrics, 19, 221–233.
    Paper not yet in RePEc: Add citation now
  34. Jiang, S., Du, J., & Wei, Z. (2021). Impacts of continuously increasing urbanization ratios on warming rates and temperature extremes observed over the Beijing area. Journal of Geophysical Research: Atmospheres, 126(11), e2021JD034536. https://agupubs.onlinelibrary.wiley.com/doi/abs/10.1029/2021JD034536.
    Paper not yet in RePEc: Add citation now
  35. Jones, P. D., Lister, D. H., & Li, Q. (2008). Urbanization effects in large‐scale temperature records, with an emphasis on China. Journal of Geophysical Research: Atmospheres, 113(D16), D16122. https://agupubs.onlinelibrary.wiley.com/doi/abs/10.1029/2008JD009916.
    Paper not yet in RePEc: Add citation now
  36. Kahle, D., & Wickham, H. (2013). ggmap: Spatial Visualization with ggplot2. The R Journal, 5(1), 144–161. https://journal.r‐project.org/archive/2013‐1/kahle‐wickham.pdf.
    Paper not yet in RePEc: Add citation now
  37. Katzfuss, M., & Cressie, N. (2012). Bayesian hierarchical spatiotemporal smoothing for very large datasets. Environmetrics, 23, 94–107.
    Paper not yet in RePEc: Add citation now
  38. Konidaris, G., & Osentoski, S. (2008). Value function approximation in reinforcement learning using the Fourier basis. Proceedings of the Computer Science Department Faculty Publication Series, 101.
    Paper not yet in RePEc: Add citation now
  39. Lee, D.‐J., & Durban, M. (2011). P‐spline ANOVA‐type interaction models for spatio‐temporal smoothing. Statistical Modelling, 11, 49–69.
    Paper not yet in RePEc: Add citation now
  40. Ma, F., & Yuan, X. (2021). More persistent summer compound hot extremes caused by global urbanization. Geophysical Research Letters, 48(15), e2021GL093721. https://agupubs.onlinelibrary.wiley.com/doi/abs/10.1029/2021GL093721.
    Paper not yet in RePEc: Add citation now
  41. Majumdar, A., Gelfand, A., & Banerjee, S. (2005). Spatio‐temporal change‐point modeling. Journal of Statistical Planning and Inference, 130, 149–166.
    Paper not yet in RePEc: Add citation now
  42. Mallinis, G., Petrila, M., Mitsopoulos, I., Lorenţ, A., Neagu, Ş., Apostol, B., Gancz, V., Popa, I., & Goldammer, J. G. (2019). Geospatial patterns and drivers of forest fire occurrence in Romania. Applied Spatial Analysis and Policy, 12(4), 773–795.
    Paper not yet in RePEc: Add citation now
  43. Mohajerani, A., Bakaric, J., & Jeffrey‐Bailey, T. (2017). The urban heat island effect, its causes, and mitigation, with reference to the thermal properties of asphalt concrete. Journal of Environmental Management, 197, 522–538. https://www.sciencedirect.com/science/article/pii/S0301479717303201.
    Paper not yet in RePEc: Add citation now
  44. Muggeo, V. M. (2008). segmented: an R Package to fit regression models with broken‐line relationships. R News, 8(1), 20–25. https://cran.r‐project.org/doc/Rnews/.
    Paper not yet in RePEc: Add citation now
  45. Murray, A. T., Carvalho, L., Church, R. L., Jones, C., Roberts, D., Xu, J., Zigner, K., & Nash, D. (2020). Coastal vulnerability under extreme weather. Applied Spatial Analysis and Policy, 14, 497–523.
    Paper not yet in RePEc: Add citation now
  46. Navarra, A., & Simoncini, V. (2010). A guide to empirical orthogonal functions for climate data analysis. Springer Science & Business Media.
    Paper not yet in RePEc: Add citation now
  47. Niu, Y. S., Hao, N., & Zhang, H. (2016). Multiple change‐point detection: A selective overview. Statistical Science, 31(4), 611–623.
    Paper not yet in RePEc: Add citation now
  48. North, J. S., Schliep, E. M., & Wikle, C. K. (2021). On the spatial and temporal shift in the archetypal seasonal temperature cycle as driven by annual and semi‐annual harmonics. Enviornmetrics, 32, e2665.

  49. Novosad, P., & Reader, A. J. (2016). MR‐guided dynamic PET reconstruction with the kernel method and spectral temporal basis functions. Physics in Medicine and Biology, 61, 4624–4644.
    Paper not yet in RePEc: Add citation now
  50. Oke, T. (1973). City size and the urban heat island. Atmospheric Environment, 7, 769–779.
    Paper not yet in RePEc: Add citation now
  51. Parker, D. E. (2010). Urban heat island effects on estimates of observed climate change. WIREs Climate Change, 1(1), 123–133. https://wires.onlinelibrary.wiley.com/doi/abs/10.1002/wcc.21.

  52. Pastore, M., & Calcagni, A. (2019). Measuring distribution similarities between samples: A distribution‐free overlapping index. Frontiers in Psychology, 10, 1089.
    Paper not yet in RePEc: Add citation now
  53. Plummer, M., Best, N., Cowles, K., & Vines, K. (2006). CODA: Convergence diagnosis and output analysis for MCMC. R News, 6(1), 7–11 https://journal.r‐project.org/archive/.
    Paper not yet in RePEc: Add citation now
  54. R Core Team. (2021). R: A Language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. https://www.R‐project.org/.
    Paper not yet in RePEc: Add citation now
  55. Rhoades, D. A., & Salinger, M. J. (1993). Adjustment of temperature and rainfall records for site changes. International Journal of Climatology, 13(8), 899–913. https://rmets.onlinelibrary.wiley.com/doi/abs/10.1002/joc.3370130807.
    Paper not yet in RePEc: Add citation now
  56. Roberts, G. O., & Rosenthal, J. S. (2009). Examples of adaptive MCMC. Journal of Computational and Graphical Statistics, 18, 349–367.
    Paper not yet in RePEc: Add citation now
  57. Saaroni, H., Ben‐Dor, E., Bitan, A., & Potchter, O. (2000). Spatial distribution and microscale characteristics of the urban heat island in Tel‐Aviv, Israel. Landscape and Urban Planning, 48, 1–18.
    Paper not yet in RePEc: Add citation now
  58. Salt Lake City International Airport. (2020). Retrieved May 21, 2021, from https://slcairport.com/about‐the‐airport/airport‐overview/airport‐history/.
    Paper not yet in RePEc: Add citation now
  59. Shen, S. S. P., Basist, A. N., Li, G., Williams, C., & Karl, T. R. (2004). Prediction of sea surface temperature from the global historical climatology network data. Environmetrics, 15, 233–249.
    Paper not yet in RePEc: Add citation now
  60. Sloan, C., Heaton, M., Kang, S., Berrett, C., Gebretsadik, T., Sicignano, N., Evans, A., Lee, R., & Hartert, T. (2017). The Impact of temperature and relative humidity on spatiotemporal patterns of infant bronchiolitis epidemics in the contiguous United States. Health & Place, 45, 46–54.
    Paper not yet in RePEc: Add citation now
  61. Spiegelhalter, D. J., Best, N. G., Carlin, B. P., & Van Der Linde, A. (2002). Bayesian measures of model complexity and fit. Journal of the Royal Statistical Society, 64, 583–639.

  62. Stabler, L. B., Martin, C. A., & Brazel, A. J. (2005). Microclimates in a desert city were related to land use and vegetation index. Urban Forestry & Urban Greening, 3, 137–147.
    Paper not yet in RePEc: Add citation now
  63. Stein, E. M., & Weiss, G. (1971). Introduction to Fourier analysis on Euclidean spaces (PMS‐32). Princeton University Press.
    Paper not yet in RePEc: Add citation now
  64. United States Census Bureau. (2020). Census of population and housing: 1980 census of population, Utah. Retrieved May 21, 2021, from. https://www.census.gov/prod/www/decennial.html.
    Paper not yet in RePEc: Add citation now
  65. Vehtari, A., Gabry, J., Magnusson, M., Yao, Y., Bürkner, P.‐C., Paananen, T., & Gelman, A. (2022). loo: Efficient leave‐one‐out cross‐validation and WAIC for Bayesian models. R package version 2.5.1. https://mc‐stan.org/loo/.
    Paper not yet in RePEc: Add citation now
  66. Vehtari, A., Gelman, A., & Gabry, J. (2017). Practical Bayesian model evaluation using leave‐one‐out cross‐validation and WAIC. Statistics and Computing, 27, 1413–1432.
    Paper not yet in RePEc: Add citation now
  67. Vose, R. S., Williams, C. N., Jr., Peterson, T. C., Karl, T. R., & Easterling, D. R. (2003). An evaluation of the time of observation bias adjustment in the U.S. Historical Climatology Network. Geophysical Research Letters, 30(20), 2046.
    Paper not yet in RePEc: Add citation now
  68. Wang, K., Ye, H., Chen, F., Xiong, Y., & Wang, C. (2012). Urbanization effect on the diurnal temperature range: Different roles under solar dimming and brightening. Journal of Climate, 25(3), 1022–1027. https://journals.ametsoc.org/view/journals/clim/25/3/jcli‐d‐10‐05030.1.xml.
    Paper not yet in RePEc: Add citation now
  69. Weng, Q., Lu, D., & Schubring, J. (2004). Estimation of land surface temperature–vegetation abundance relationship for urban heat island studies. Remote Sensing of Environment, 89, 467–483.
    Paper not yet in RePEc: Add citation now
  70. Yosef, Y., Aguilar, E., & Alpert, P. (2018). Detecting and adjusting artificial biases of long‐term temperature records in Israel. International Journal of Climatology, 38(8), 3273–3289.
    Paper not yet in RePEc: Add citation now
  71. Yu, Q., Scribner, R., Carlin, B., Theall, K., Simonsen, N., Ghosh‐Dastidar, B., Cohen, D., & Mason, K. (2008). Multilevel spatio‐temporal dual changepoint models for relating alcohol outlet destruction and changes in neighbourhood rates of assaultive violence. Geospatial Health, 2, 161–172.
    Paper not yet in RePEc: Add citation now

Cocites

Documents in RePEc which have cited the same bibliography

  1. A Bayesian change point modeling approach to identify local temperature changes related to urbanization. (2023). Moon, T ; Williams, G P ; Arthur, D ; Berrett, C ; Gurney, B.
    In: Environmetrics.
    RePEc:wly:envmet:v:34:y:2023:i:3:n:e2794.

    Full description at Econpapers || Download paper

  2. Interpolation of daily rainfall data using censored Bayesian spatially varying model. (2020). Bakar, Shuvo K.
    In: Computational Statistics.
    RePEc:spr:compst:v:35:y:2020:i:1:d:10.1007_s00180-019-00911-0.

    Full description at Econpapers || Download paper

  3. A scalable Bayesian nonparametric model for large spatio-temporal data. (2020). Barzegar, Zahra ; Rivaz, Firoozeh.
    In: Computational Statistics.
    RePEc:spr:compst:v:35:y:2020:i:1:d:10.1007_s00180-019-00905-y.

    Full description at Econpapers || Download paper

  4. An area-specific stick breaking process for spatial data. (2019). Khaledi, Majid Jafari ; Hosseinpouri, Mahdi.
    In: Statistical Papers.
    RePEc:spr:stpapr:v:60:y:2019:i:1:d:10.1007_s00362-016-0833-0.

    Full description at Econpapers || Download paper

  5. Spatiotemporal Lagged Models for Variable Rate Irrigation in Agriculture. (2019). Pugh, Sierra ; Hansen, Neil ; Heaton, Matthew J ; Svedin, Jeff.
    In: Journal of Agricultural, Biological and Environmental Statistics.
    RePEc:spr:jagbes:v:24:y:2019:i:4:d:10.1007_s13253-019-00365-3.

    Full description at Econpapers || Download paper

  6. Bayesian nonstationary Gaussian process models via treed process convolutions. (2019). , Waley.
    In: Advances in Data Analysis and Classification.
    RePEc:spr:advdac:v:13:y:2019:i:3:d:10.1007_s11634-018-0341-2.

    Full description at Econpapers || Download paper

  7. Multivariate spatial meta kriging. (2019). Banerjee, Sudipto ; Guhaniyogi, Rajarshi.
    In: Statistics & Probability Letters.
    RePEc:eee:stapro:v:144:y:2019:i:c:p:3-8.

    Full description at Econpapers || Download paper

  8. Producing high-quality solar resource maps by integrating high- and low-accuracy measurements using Gaussian processes. (2019). Yang, Dazhi ; Gueymard, Christian A.
    In: Renewable and Sustainable Energy Reviews.
    RePEc:eee:rensus:v:113:y:2019:i:c:45.

    Full description at Econpapers || Download paper

  9. Bayesian sequential data collection for stochastic simulation calibration. (2019). Xie, Wei ; Zhang, Qiong ; Wang, BO.
    In: European Journal of Operational Research.
    RePEc:eee:ejores:v:277:y:2019:i:1:p:300-316.

    Full description at Econpapers || Download paper

  10. Likelihood approximation with hierarchical matrices for large spatial datasets. (2019). Sun, Ying ; Genton, Marc G ; Keyes, David E ; Litvinenko, Alexander.
    In: Computational Statistics & Data Analysis.
    RePEc:eee:csdana:v:137:y:2019:i:c:p:115-132.

    Full description at Econpapers || Download paper

  11. Comments on: Process modeling for slope and aspect with application to elevation data maps. (2018). Schliep, Erin M.
    In: TEST: An Official Journal of the Spanish Society of Statistics and Operations Research.
    RePEc:spr:testjl:v:27:y:2018:i:4:d:10.1007_s11749-018-0620-4.

    Full description at Econpapers || Download paper

  12. Two-scale spatial models for binary data. (2018). Cressie, Noel ; Hardouin, Cecile.
    In: Statistical Methods & Applications.
    RePEc:spr:stmapp:v:27:y:2018:i:1:d:10.1007_s10260-017-0391-1.

    Full description at Econpapers || Download paper

  13. Reduced Basis Kriging for Big Spatial Fields. (2018). Sain, Stephan ; Maitra, Ranjan ; Pazdernik, Karl ; Nychka, Douglas.
    In: Sankhya A: The Indian Journal of Statistics.
    RePEc:spr:sankha:v:80:y:2018:i:2:d:10.1007_s13171-018-0129-7.

    Full description at Econpapers || Download paper

  14. Estimation of spatial autoregressive models with measurement error for large data sets. (2018). Suesse, Thomas.
    In: Computational Statistics.
    RePEc:spr:compst:v:33:y:2018:i:4:d:10.1007_s00180-017-0774-7.

    Full description at Econpapers || Download paper

  15. Principles for statistical inference on big spatio-temporal data from climate models. (2018). Castruccio, Stefano ; Genton, Marc G.
    In: Statistics & Probability Letters.
    RePEc:eee:stapro:v:136:y:2018:i:c:p:92-96.

    Full description at Econpapers || Download paper

  16. Big data sampling and spatial analysis: “which of the two ladles, of fig-wood or gold, is appropriate to the soup and the pot?”. (2018). Bivand, Roger ; Krivoruchko, Konstantin.
    In: Statistics & Probability Letters.
    RePEc:eee:stapro:v:136:y:2018:i:c:p:87-91.

    Full description at Econpapers || Download paper

  17. A sparse linear algebra algorithm for fast computation of prediction variances with Gaussian Markov random fields. (2018). Rougier, Jonathan ; Zammit-Mangion, Andrew.
    In: Computational Statistics & Data Analysis.
    RePEc:eee:csdana:v:123:y:2018:i:c:p:116-130.

    Full description at Econpapers || Download paper

  18. Spatial data compression via adaptive dispersion clustering. (2018). Marchetti, Yuliya ; Cressie, Noel ; Nguyen, Hai ; Braverman, Amy.
    In: Computational Statistics & Data Analysis.
    RePEc:eee:csdana:v:117:y:2018:i:c:p:138-153.

    Full description at Econpapers || Download paper

  19. A scalable multi‐resolution spatio‐temporal model for brain activation and connectivity in fMRI data. (2018). Castruccio, Stefano ; Genton, Marc G ; Ombao, Hernando.
    In: Biometrics.
    RePEc:bla:biomet:v:74:y:2018:i:3:p:823-833.

    Full description at Econpapers || Download paper

  20. Tukey -and- Random Fields. (2017). Genton, Marc G ; Xu, Ganggang.
    In: Journal of the American Statistical Association.
    RePEc:taf:jnlasa:v:112:y:2017:i:519:p:1236-1249.

    Full description at Econpapers || Download paper

  21. A Multi-Resolution Approximation for Massive Spatial Datasets. (2017). Katzfuss, Matthias.
    In: Journal of the American Statistical Association.
    RePEc:taf:jnlasa:v:112:y:2017:i:517:p:201-214.

    Full description at Econpapers || Download paper

  22. Gaussian processes for computer experiments. (2017). Rulliere, Didier ; Contal, Emile ; Maatouk, Hassan ; Bachoc, Franois.
    In: Post-Print.
    RePEc:hal:journl:hal-01665936.

    Full description at Econpapers || Download paper

  23. Regionalization of multiscale spatial processes by using a criterion for spatial aggregation error. (2017). Holan, Scott H ; Bradley, Jonathan R ; Wikle, Christopher K.
    In: Journal of the Royal Statistical Society Series B.
    RePEc:bla:jorssb:v:79:y:2017:i:3:p:815-832.

    Full description at Econpapers || Download paper

  24. Efficient Bayesian hierarchical functional data analysis with basis function approximations using Gaussian–Wishart processes. (2017). Choi, Taeryon ; Ren, Peng ; Lee, Jong Soo ; Yang, Jingjing ; Cox, Dennis D.
    In: Biometrics.
    RePEc:bla:biomet:v:73:y:2017:i:4:p:1082-1091.

    Full description at Econpapers || Download paper

  25. Modeling nonstationarity in space and time. (2017). Shand, Lyndsay ; Li, BO.
    In: Biometrics.
    RePEc:bla:biomet:v:73:y:2017:i:3:p:759-768.

    Full description at Econpapers || Download paper

  26. A non-homogeneous skew-Gaussian Bayesian spatial model. (2016). Khaledi, Majid ; Boojari, Hossein ; Rivaz, Firoozeh.
    In: Statistical Methods & Applications.
    RePEc:spr:stmapp:v:25:y:2016:i:1:p:55-73.

    Full description at Econpapers || Download paper

  27. Variable Family Size Based Spatial Moving Correlations Model. (2016). Mariathas, Hensley H ; Sutradhar, Brajendra C.
    In: Sankhya B: The Indian Journal of Statistics.
    RePEc:spr:sankhb:v:78:y:2016:i:1:d:10.1007_s13571-015-0104-4.

    Full description at Econpapers || Download paper

  28. A Fused Lasso Approach to Nonstationary Spatial Covariance Estimation. (2016). Parker, Ryan J ; Eidsvik, JO ; Reich, Brian J.
    In: Journal of Agricultural, Biological and Environmental Statistics.
    RePEc:spr:jagbes:v:21:y:2016:i:3:d:10.1007_s13253-016-0251-8.

    Full description at Econpapers || Download paper

  29. A geostatistical approach to the change-of-support problem and variable-support data fusion in spatial analysis. (2016). Wang, Yang ; Zeng, Hui.
    In: Journal of Geographical Systems.
    RePEc:kap:jgeosy:v:18:y:2016:i:1:d:10.1007_s10109-015-0224-4.

    Full description at Econpapers || Download paper

  30. laGP: Large-Scale Spatial Modeling via Local Approximate Gaussian Processes in R. (2016). Gramacy, Robert B.
    In: Journal of Statistical Software.
    RePEc:jss:jstsof:v:072:i01.

    Full description at Econpapers || Download paper

  31. Asymptotic properties of multivariate tapering for estimation and prediction. (2016). Furrer, Reinhard ; Du, Juan ; Bachoc, Franois.
    In: Journal of Multivariate Analysis.
    RePEc:eee:jmvana:v:149:y:2016:i:c:p:177-191.

    Full description at Econpapers || Download paper

  32. Modeling nonstationary covariance function with convolution on sphere. (2016). Zhu, Zhengyuan ; Li, Yang.
    In: Computational Statistics & Data Analysis.
    RePEc:eee:csdana:v:104:y:2016:i:c:p:233-246.

    Full description at Econpapers || Download paper

  33. Rejoinder on: Comparing and selecting spatial predictors using local criteria. (2015). Shi, Tao ; Cressie, Noel ; Bradley, Jonathan.
    In: TEST: An Official Journal of the Spanish Society of Statistics and Operations Research.
    RePEc:spr:testjl:v:24:y:2015:i:1:p:54-60.

    Full description at Econpapers || Download paper

  34. Comparing and selecting spatial predictors using local criteria. (2015). Shi, Tao ; Cressie, Noel ; Bradley, Jonathan.
    In: TEST: An Official Journal of the Spanish Society of Statistics and Operations Research.
    RePEc:spr:testjl:v:24:y:2015:i:1:p:1-28.

    Full description at Econpapers || Download paper

  35. The SAR Model for Very Large Datasets: A Reduced Rank Approach. (2015). Burden, Sandy ; Cressie, Noel ; Steel, David G..
    In: Econometrics.
    RePEc:gam:jecnmx:v:3:y:2015:i:2:p:317-338:d:49389.

    Full description at Econpapers || Download paper

  36. Numerical Methods of Karhunen–Loève Expansion for Spatial Data. (2015). Hao, Zhang ; Juan, Hu.
    In: Stochastics and Quality Control.
    RePEc:bpj:ecqcon:v:30:y:2015:i:1:p:49-58:n:5.

    Full description at Econpapers || Download paper

  37. Fast Prediction of Deterministic Functions Using Sparse Grid Experimental Designs. (2014). Plumlee, Matthew.
    In: Journal of the American Statistical Association.
    RePEc:taf:jnlasa:v:109:y:2014:i:508:p:1581-1591.

    Full description at Econpapers || Download paper

  38. A pseudo-penalized quasi-likelihood approach to the spatial misalignment problem with non-normal data. (2014). Young, Linda J. ; Lopiano, Kenneth K. ; Gotway, Carol A..
    In: Biometrics.
    RePEc:bla:biomet:v:70:y:2014:i:3:p:648-660.

    Full description at Econpapers || Download paper

  39. Discussing the “big n problem”. (2013). Lasinio, Giovanna Jona ; Mastrantonio, Gianluca ; Pollice, Alessio.
    In: Statistical Methods & Applications.
    RePEc:spr:stmapp:v:22:y:2013:i:1:p:97-112.

    Full description at Econpapers || Download paper

  40. A meta-analysis of correlated behaviors with implications for behavioral syndromes: relationships between particular behavioral traits. (2013). Garamszegi, Laszlo Zsolt ; Marko, Gabor ; Herczeg, Gabor.
    In: Behavioral Ecology.
    RePEc:oup:beheco:v:24:y:2013:i:5:p:1068-1080..

    Full description at Econpapers || Download paper

  41. The Effect of Migration and Spatial Connectivity on Regional Skill Endowments across Europe: 1988-2010. (2013). tani, max ; Manuguerra, Maurizio .
    In: IZA Discussion Papers.
    RePEc:iza:izadps:dp7292.

    Full description at Econpapers || Download paper

  42. Efficient Approximation of the Spatial Covariance Function for Large Datasets - Analysis of Atmospheric CO2 Concentrations. (2013). Schwarze, Reimund ; Vetter, Patrick ; Schmid, Wolfgang.
    In: Discussion Paper Series RECAP15.
    RePEc:euv:dpaper:009.

    Full description at Econpapers || Download paper

  43. Spatial prediction of traffic levels in unmeasured locations: applications of universal kriging and geographically weighted regression. (2013). Kockelman, Kara M ; Selby, Brent .
    In: Journal of Transport Geography.
    RePEc:eee:jotrge:v:29:y:2013:i:c:p:24-32.

    Full description at Econpapers || Download paper

  44. A comparison between Markov approximations and other methods for large spatial data sets. (2013). Lindgren, Finn ; Bolin, David.
    In: Computational Statistics & Data Analysis.
    RePEc:eee:csdana:v:61:y:2013:i:c:p:7-21.

    Full description at Econpapers || Download paper

  45. Hierarchical Factor Models for Large Spatially Misaligned Data: A Low-Rank Predictive Process Approach. (2013). Banerjee, Sudipto ; Ren, Qian.
    In: Biometrics.
    RePEc:bla:biomet:v:69:y:2013:i:1:p:19-30.

    Full description at Econpapers || Download paper

  46. Bayesian dynamic modeling for large space-time datasets using Gaussian predictive processes. (2012). Banerjee, Sudipto ; Finley, Andrew ; Gelfand, Alan.
    In: Journal of Geographical Systems.
    RePEc:kap:jgeosy:v:14:y:2012:i:1:p:29-47.

    Full description at Econpapers || Download paper

  47. A simplified representation of the covariance structure of axially symmetric processes on the sphere. (2012). Robeson, Scott M. ; Zhang, Haimeng ; Huang, Chunfeng.
    In: Statistics & Probability Letters.
    RePEc:eee:stapro:v:82:y:2012:i:7:p:1346-1351.

    Full description at Econpapers || Download paper

  48. Small area estimation under spatial nonstationarity. (2012). Chambers, Ray ; Tzavidis, Nikos ; Salvati, Nicola ; Chandra, Hukum.
    In: Computational Statistics & Data Analysis.
    RePEc:eee:csdana:v:56:y:2012:i:10:p:2875-2888.

    Full description at Econpapers || Download paper

  49. Assessing local model adequacy in Bayesian hierarchical models using the partitioned deviance information criterion. (2010). Waller, Lance A. ; Hickson, DeMarc A. ; Wheeler, David C..
    In: Computational Statistics & Data Analysis.
    RePEc:eee:csdana:v:54:y:2010:i:6:p:1657-1671.

    Full description at Econpapers || Download paper

  50. Tobit model with covariate dependent thresholds. (2010). Omori, Yasuhiro ; Miyawaki, Koji.
    In: Computational Statistics & Data Analysis.
    RePEc:eee:csdana:v:54:y:2010:i:11:p:2736-2752.

    Full description at Econpapers || Download paper

  51. A Class of Convolution‐Based Models for Spatio‐Temporal Processes with Non‐Separable Covariance Structure. (2010). Diggle, Peter J. ; Rodrigues, Alexandre.
    In: Scandinavian Journal of Statistics.
    RePEc:bla:scjsta:v:37:y:2010:i:4:p:553-567.

    Full description at Econpapers || Download paper

  52. Parallel and interacting Markov chain Monte Carlo algorithm. (2009). Rossi, Vivien ; Rakotozafy, Rivo ; Campillo, Fabien.
    In: Mathematics and Computers in Simulation (MATCOM).
    RePEc:eee:matcom:v:79:y:2009:i:12:p:3424-3433.

    Full description at Econpapers || Download paper

  53. Spatiotemporal smoothing and sulphur dioxide trends over Europe. (2009). Scott, Marian E. ; Giannitrapani, Marco ; Bowman, Adrian W..
    In: Journal of the Royal Statistical Society Series C.
    RePEc:bla:jorssc:v:58:y:2009:i:5:p:737-752.

    Full description at Econpapers || Download paper

  54. Approximate Bayesian inference for latent Gaussian models by using integrated nested Laplace approximations. (2009). Chopin, Nicolas ; Martino, Sara ; Håvard Rue, .
    In: Journal of the Royal Statistical Society Series B.
    RePEc:bla:jorssb:v:71:y:2009:i:2:p:319-392.

    Full description at Econpapers || Download paper

  55. Hierarchical Spatial Modeling of Additive and Dominance Genetic Variance for Large Spatial Trial Datasets. (2009). Ericsson, Tore ; Banerjee, Sudipto ; Waldmann, Patrik ; Finley, Andrew O..
    In: Biometrics.
    RePEc:bla:biomet:v:65:y:2009:i:2:p:441-451.

    Full description at Econpapers || Download paper

  56. Gaussian predictive process models for large spatial data sets. (2008). Banerjee, Sudipto ; Sang, Huiyan ; Finley, Andrew O. ; Gelfand, Alan E..
    In: Journal of the Royal Statistical Society Series B.
    RePEc:bla:jorssb:v:70:y:2008:i:4:p:825-848.

    Full description at Econpapers || Download paper

  57. Mixtures of spatial and unstructured effects for spatially discontinuous health outcomes. (2007). Congdon, Peter.
    In: Computational Statistics & Data Analysis.
    RePEc:eee:csdana:v:51:y:2007:i:6:p:3197-3212.

    Full description at Econpapers || Download paper

  58. Too much cocited documents. This list is not complete

Coauthors

Authors registered in RePEc who have wrote about the same topic

Report date: 2025-09-26 02:15:42 || Missing content? Let us know

CitEc is a RePEc service, providing citation data for Economics since 2001. Last updated August, 3 2024. Contact: Jose Manuel Barrueco.