create a website

Discriminant Analysis of Interval Data: An Assessment of Parametric and Distance-Based Approaches. (2015). Silva, Pedro ; Brito, Paula.
In: Journal of Classification.
RePEc:spr:jclass:v:32:y:2015:i:3:p:516-541.

Full description at Econpapers || Download paper

Cited: 6

Citations received by this document

Cites: 30

References cited by this document

Cocites: 40

Documents which have cited the same bibliography

Coauthors: 0

Authors who have wrote about the same topic

Citations

Citations received by this document

  1. New models for symbolic data analysis. (2023). Sisson, Scott ; Lin, Huan ; Beranger, Boris.
    In: Advances in Data Analysis and Classification.
    RePEc:spr:advdac:v:17:y:2023:i:3:d:10.1007_s11634-022-00520-8.

    Full description at Econpapers || Download paper

  2. Association measures for interval variables. (2022). Valadas, Rui ; Oliveira, Rosario M ; Azeitona, Margarida ; Pacheco, Antonio.
    In: Advances in Data Analysis and Classification.
    RePEc:spr:advdac:v:16:y:2022:i:3:d:10.1007_s11634-021-00445-8.

    Full description at Econpapers || Download paper

  3. Discriminant analysis of distributional data via fractional programming. (2021). Dias, Sonia ; Brito, Paula ; Amaral, Paula.
    In: European Journal of Operational Research.
    RePEc:eee:ejores:v:294:y:2021:i:1:p:206-218.

    Full description at Econpapers || Download paper

  4. Improving accuracy of financial distress prediction by considering volatility: an interval-data-based discriminant model. (2020). Zheng, Haitao ; Guan, Rong ; Wang, Huiwen.
    In: Computational Statistics.
    RePEc:spr:compst:v:35:y:2020:i:2:d:10.1007_s00180-019-00916-9.

    Full description at Econpapers || Download paper

  5. Outlier detection in interval data. (2018). Silva, Pedro ; Filzmoser, Peter ; Duarte, Pedro A ; Brito, Paula.
    In: Advances in Data Analysis and Classification.
    RePEc:spr:advdac:v:12:y:2018:i:3:d:10.1007_s11634-017-0305-y.

    Full description at Econpapers || Download paper

  6. Exponential distance-based fuzzy clustering for interval-valued data. (2017). Massari, Riccardo ; Durso, Pierpaolo ; de Giovanni, Livia ; Cappelli, Carmela.
    In: Fuzzy Optimization and Decision Making.
    RePEc:spr:fuzodm:v:16:y:2017:i:1:d:10.1007_s10700-016-9238-8.

    Full description at Econpapers || Download paper

References

References cited by this document

  1. ANGULO, C., ANGUITA, D., and GONZÁLEZ, L. (2007), “Interval Discriminant Analysis Using Support Vector Machines”, in ESANN’2007 Proceedings - European Symposium on Artificial Neural Networks, Bruges. .
    Paper not yet in RePEc: Add citation now
  2. ARELLANO-VALLE, R., and AZZALINI, A. (2008), “The Centred Parametrization for the Multivariate Skew-Normal Distribution”, Journal of Multivariate Analysis, 99, 1362–1382.

  3. AZZALINI, A., and CAPITANIO, A. (1999), “Statistical Applications of the Multivariate Skew-Normal Distribution”, Journal of the Royal Statistical Society B, 61(3), 579–602.

  4. BEHESHTI,M., BERRACHED, A., DE KORVIN, A., HU, C., and SIRISAENGTAKSIN, O. (1998), “On Interval Weighted Freelayer Neural Networks”, in Proceedings of the 31st Annual Simulation Symposium,” IEEE Computer Society Press, pp. 188–194.
    Paper not yet in RePEc: Add citation now
  5. BERTRAND, P., and GOUPIL, F. (2000), “Descriptive Statistics for Symbolic Data”, in Analysis of Symbolic Data, Exploratory Methods for Extracting Statistical Information from Complex Data, eds. H.-H. Bock and E. Diday, Heidelberg: Springer, pp. 106–124.
    Paper not yet in RePEc: Add citation now
  6. BILLARD, L., and DIDAY, E. (2003), “From the Statistics of Data to the Statistics of Knowledge: Symbolic Data Analysis”, Journal of the American Statistical Association, 98(462), 470–487.

  7. BOCK, H.-H., and DIDAY, E. (Eds.) (2000), Analysis of Symbolic Data, Exploratory Methods for Extracting Statistical Information from Complex Data, Berlin-Heidelberg: Springer-Verlag.
    Paper not yet in RePEc: Add citation now
  8. BRITO, P., and DUARTE SILVA, A.P. (2012), “Modelling Interval Data with Normal and Skew-Normal Distributions”, Journal of Applied Statistics, 39(1), 3–20.

  9. CARRIZOSA, E., GORDILLO, J., and PLASTRIA, F. (2007), “Classification Problems with Imprecise Data Through Separating Hyperplanes”, available at http: //www.optimization—online.org/DBFILE/2007/09/1781.pdf.
    Paper not yet in RePEc: Add citation now
  10. CHOUAKRIA, A., CAZES, P., and DIDAY, E. (2000), “Symbolic Principal Component Analysis,” in Analysis of Symbolic Data, Exploratory Methods for Extracting Statistical Information from Complex Data, eds. H.-H. Bock and E. Diday, Heidelberg: Springer, pp. 200–212.
    Paper not yet in RePEc: Add citation now
  11. DIDAY, E., and NOIRHOMME-FRAITURE, M. (2008), Symbolic Data Analysis and the SODAS Software, Chichester: Wiley.
    Paper not yet in RePEc: Add citation now
  12. DO, T.-N., and POULET, F. (2005), “Kernel Methods and Visualization for Interval Data Mining”, in Proceedings of the Conference on Applied Stochastic Models and Data Analysis, ASMDA 2005, ENST Bretagne, eds. J. Jannsen and P. Lenca, pp. 345–354.
    Paper not yet in RePEc: Add citation now
  13. DUARTE SILVA, A.P., and BRITO, P. (2006), “Linear Discriminant Analysis for Interval Data”, Computational Statistics, 21(2), 289–308.

  14. FLURY, B.W., SCHMID, M.J., and NARAYANAN, A. (1994), “Error Rates in Quadratic Discrimination with Constraints on the Covariance Matrices”, Journal of Classification, 11, 101–120.

  15. ISHIBUCHI, H., TANAKA, H., and NORIKOFUKUOKA, N. (1990), “Discriminant Analysis of Multi-Dimensional Interval Data and Its Application to Chemical Sensing”, International Journal of General Systems, 16(4), 311–329.
    Paper not yet in RePEc: Add citation now
  16. JAHANSHAHLOOA, G.R., LOTFIB, F.H., BALFC, F.R., and REZAID, H.Z. (2007), “Discriminant Analysis of Interval Data Using Monte Carlo Method in Assessment of Overlap”, Applied Mathematics and Computation, 191(2), 521–532.
    Paper not yet in RePEc: Add citation now
  17. LAURO, C., and PALUMBO, F. (2005), “Principal Component Analysis for Non-Precise Data”, in New Developments in Classification and Data Analysis, eds. M. Vichi et al., Springer, pp. 173–184.
    Paper not yet in RePEc: Add citation now
  18. LAURO, N.C., VERDE, R., and IRPINO, A. (2008), “Factorial Discriminant Analysis”, in Symbolic Data Analysis and the Sodas Software, eds. E. Diday and M. Noirhomme-Fraiture, Chichester: Wiley, pp. 341–358.
    Paper not yet in RePEc: Add citation now
  19. LAURO, N.C., VERDE, R., and PALUMBO, F. (2000), “Factorial Discriminant Analysis on Symbolic Objects”, in Analysis of Symbolic Data, Exploratory Methods for Extracting Statistical Information from Complex Data, eds. H.-H. Bock and E. Diday, Heidelberg: Springer, pp. 212–233.
    Paper not yet in RePEc: Add citation now
  20. MARKS, S., and DUNN, O.J. (1974), “Discriminant Functions When the Covariance Matrices Are Unequal”, Journal of the American Statistical Association, 69, 555–559.
    Paper not yet in RePEc: Add citation now
  21. MOORE, R.E. (1966), Interval Analysis, New Jersey:Prentice Hall.
    Paper not yet in RePEc: Add citation now
  22. NETO, E.A.L., and DE CARVALHO, F.A.T. (2008), “Centre and Range Method for Fitting a Linear Regression Model to Symbolic Intervalar Data”, Computational Statistics & Data Analysis, 52, 1500–1515.

  23. NETO, E.A.L., and DE CARVALHO, F.A.T. (2010), “Constrained Linear Regression Models for Symbolic Interval-Valued Variables”, Computational Statistics & Data Analysis, 54, 333–347.
    Paper not yet in RePEc: Add citation now
  24. NIVLET, P., FOURNIER, F., and ROYER, J.J. (2001), “Interval Discriminant Analysis: An EfficientMethod to Integrate Errors in Supervised Pattern Recognition, in ISIPTA’01, pp. 284–292.
    Paper not yet in RePEc: Add citation now
  25. NOIRHOMME-FRAITURE, M., and BRITO, P. (2011), “Far Beyond the Classical Data Models: Symbolic Data Analysis”, Statistical Analysis and Data Mining, 4(2), 157–170.
    Paper not yet in RePEc: Add citation now
  26. RASSON, J.P., PIRC¸ ON, J.-Y., LALLEMAND, P., and ADANS, S. (2008), “Unsupervised Divisive Classification”, in Symbolic Data Analysis and the Sodas Software, eds. E. Diday and M. Noirhomme-Fraiture, Chichester: Wiley, pp. 149–156.
    Paper not yet in RePEc: Add citation now
  27. ROSSI, F., and CONAN GUEZ, B. (2002), “Multilayer Perceptron on Interval Data”, in Classification, Clustering and Data Analysis, eds. K. Jajuga, A. Sokolowski, and H.-H. Bock, Berlin, Heidelberg, New York: Springer, pp. 427–434.
    Paper not yet in RePEc: Add citation now
  28. SÍMA, J. (1995), “Neural Expert Systems”, Neural Networks, 8(2), 261–271.
    Paper not yet in RePEc: Add citation now
  29. SIMOFF, S.J. (1996), “Handling Uncertainty in Neural Networks: An Interval Approach”, in Proceedomgs of the IEEE International Conference on Neural Networks, IEEE, Washington D.C., pp. 606–610.
    Paper not yet in RePEc: Add citation now
  30. UTKIN, L.V., and COOLEN, F.P.A. (2011), “Interval-Valued Regression and Classification Models in the Framework of Machine Learning”, in 7th International Symposium on Imprecise Probability: Theories and Applications, Innsbruck.
    Paper not yet in RePEc: Add citation now

Cocites

Documents in RePEc which have cited the same bibliography

  1. Bayesian modal regression based on mixture distributions. (2024). Huang, Xianzheng ; Bai, Ray ; Liu, Qingyang.
    In: Computational Statistics & Data Analysis.
    RePEc:eee:csdana:v:199:y:2024:i:c:s0167947324000963.

    Full description at Econpapers || Download paper

  2. When the score function is the identity function - A tale of characterizations of the normal distribution. (2023). Ley, Christophe.
    In: Econometrics and Statistics.
    RePEc:eee:ecosta:v:26:y:2023:i:c:p:153-160.

    Full description at Econpapers || Download paper

  3. Non-parametric cumulants approach for outlier detection of multivariate financial data. (2023). Giacometti, Rosella ; Ricci, Jacopo Maria ; Cesarone, Francesco.
    In: Papers.
    RePEc:arx:papers:2305.10911.

    Full description at Econpapers || Download paper

  4. Estimating Forward-Looking Stock Correlations from Risk Factors. (2022). Schadner, Wolfgang ; Traut, Joshua.
    In: Mathematics.
    RePEc:gam:jmathe:v:10:y:2022:i:10:p:1649-:d:813874.

    Full description at Econpapers || Download paper

  5. An overview on the progeny of the skew-normal family— A personal perspective. (2022). Azzalini, Adelchi.
    In: Journal of Multivariate Analysis.
    RePEc:eee:jmvana:v:188:y:2022:i:c:s0047259x21001299.

    Full description at Econpapers || Download paper

  6. Pruned Skewed Kalman Filter and Smoother: With Application to the Yield Curve. (2022). Mutschler, Willi ; Trede, Mark ; Guljanov, Gaygysyz.
    In: CQE Working Papers.
    RePEc:cqe:wpaper:10122.

    Full description at Econpapers || Download paper

  7. Pruned Skewed Kalman Filter and Smoother: With Application to the Yield Curve. (2022). Mutschler, Willi ; Trede, Mark ; Guljanov, Gaygysyz.
    In: Dynare Working Papers.
    RePEc:cpm:dynare:078.

    Full description at Econpapers || Download paper

  8. A Mixture-Function Mortality Model: Illustration of the Evolution of Premature Mortality. (2021). Canudas-Romo, Vladimir ; Mazzuco, Stefano ; Zanotto, Lucia.
    In: European Journal of Population.
    RePEc:spr:eurpop:v:37:y:2021:i:1:d:10.1007_s10680-019-09552-x.

    Full description at Econpapers || Download paper

  9. Normal but Skewed?. (2021). Sentana, Enrique ; Amengual, Dante ; Bei, Xinyue.
    In: Working Papers.
    RePEc:cmf:wpaper:wp2021_2104.

    Full description at Econpapers || Download paper

  10. Feasible Implied Correlation Matrices from Factor Structures. (2021). Schadner, Wolfgang.
    In: Papers.
    RePEc:arx:papers:2107.00427.

    Full description at Econpapers || Download paper

  11. Climate variability and farm inefficiency: A spatial stochastic frontier analysis of Senegalese agriculture. (2020). Adjin, Christophe K.
    In: Working Papers of Agricultural Policy.
    RePEc:zbw:cauapw:wp202009.

    Full description at Econpapers || Download paper

  12. An Alternative Matrix Skew-Normal Random Matrix and Some Properties. (2020). Young, Phil D ; Patrick, Joshua D ; Ramey, John A.
    In: Sankhya A: The Indian Journal of Statistics.
    RePEc:spr:sankha:v:82:y:2020:i:1:d:10.1007_s13171-019-00165-4.

    Full description at Econpapers || Download paper

  13. On the estimation of spatial stochastic frontier models: an alternative skew-normal approach. (2020). Graaff, Thomas.
    In: The Annals of Regional Science.
    RePEc:spr:anresc:v:64:y:2020:i:2:d:10.1007_s00168-019-00928-9.

    Full description at Econpapers || Download paper

  14. Sparsity-regularized skewness estimation for the multivariate skew normal and multivariate skew t distributions. (2020). Wang, Sheng ; Breheny, Patrick ; Zimmerman, Dale L.
    In: Journal of Multivariate Analysis.
    RePEc:eee:jmvana:v:179:y:2020:i:c:s0047259x20302207.

    Full description at Econpapers || Download paper

  15. Modelling conditional skewness: Heterogeneous beliefs, short sale restrictions and market declines. (2020). Shum, Wai Yan.
    In: The North American Journal of Economics and Finance.
    RePEc:eee:ecofin:v:51:y:2020:i:c:s1062940819300774.

    Full description at Econpapers || Download paper

  16. Hypothesis tests with a repeatedly singular information matrix. (2020). Sentana, Enrique ; Amengual, Dante ; Bei, Xinyue.
    In: CEPR Discussion Papers.
    RePEc:cpr:ceprdp:14415.

    Full description at Econpapers || Download paper

  17. Hypothesis Tests with a Repeatedly Singular Information Matrix. (2020). Sentana, Enrique ; Amengual, Dante ; Bei, Xinyue.
    In: Working Papers.
    RePEc:cmf:wpaper:wp2020_2002.

    Full description at Econpapers || Download paper

  18. Testing error distribution by kernelized Stein discrepancy in multivariate time series models. (2020). Zhu, Ke ; Gong, Huan ; Li, Dong ; Luo, Donghang.
    In: Papers.
    RePEc:arx:papers:2008.00747.

    Full description at Econpapers || Download paper

  19. Testing for sub-models of the skew t-distribution. (2018). Diciccio, Thomas J ; Monti, Anna Clara.
    In: Statistical Methods & Applications.
    RePEc:spr:stmapp:v:27:y:2018:i:1:d:10.1007_s10260-017-0387-x.

    Full description at Econpapers || Download paper

  20. Multidimensional multiple group IRT models with skew normal latent trait distributions. (2018). Lachos, Victor H ; Padilla, Juan L.
    In: Journal of Multivariate Analysis.
    RePEc:eee:jmvana:v:167:y:2018:i:c:p:250-268.

    Full description at Econpapers || Download paper

  21. On the independence of singular multivariate skew-normal sub-vectors. (2017). Young, Phil D ; Kahle, David J.
    In: Statistics & Probability Letters.
    RePEc:eee:stapro:v:122:y:2017:i:c:p:58-62.

    Full description at Econpapers || Download paper

  22. Skew-rotationally-symmetric distributions and related efficient inferential procedures. (2017). Verdebout, Thomas ; Ley, Christophe.
    In: Journal of Multivariate Analysis.
    RePEc:eee:jmvana:v:159:y:2017:i:c:p:67-81.

    Full description at Econpapers || Download paper

  23. Tests for conditional ellipticity in multivariate GARCH models. (2017). Francq, Christian ; Meintanis, S G ; Jimenez-Gamero, M D.
    In: Journal of Econometrics.
    RePEc:eee:econom:v:196:y:2017:i:2:p:305-319.

    Full description at Econpapers || Download paper

  24. On the multivariate skew-normal-Cauchy distribution. (2016). Arellano-Valle, R B ; Rezaei, M ; Yousefzadeh, F ; Kahrari, F.
    In: Statistics & Probability Letters.
    RePEc:eee:stapro:v:117:y:2016:i:c:p:80-88.

    Full description at Econpapers || Download paper

  25. A derivation of the multivariate singular skew-normal density function. (2016). Young, Phil D ; Harvill, Jane L.
    In: Statistics & Probability Letters.
    RePEc:eee:stapro:v:117:y:2016:i:c:p:40-45.

    Full description at Econpapers || Download paper

  26. Doubly censored power-normal regression models with inflation. (2015). Bolfarine, Heleno ; Gomez, Hector ; Martinez-Florez, Guillermo.
    In: TEST: An Official Journal of the Spanish Society of Statistics and Operations Research.
    RePEc:spr:testjl:v:24:y:2015:i:2:p:265-286.

    Full description at Econpapers || Download paper

  27. Discriminant Analysis of Interval Data: An Assessment of Parametric and Distance-Based Approaches. (2015). Silva, Pedro ; Brito, Paula.
    In: Journal of Classification.
    RePEc:spr:jclass:v:32:y:2015:i:3:p:516-541.

    Full description at Econpapers || Download paper

  28. Tests for sphericity in multivariate garch models. (2015). Francq, Christian ; Meintanis, Simos ; Jimenez, Maria Dolores.
    In: MPRA Paper.
    RePEc:pra:mprapa:67411.

    Full description at Econpapers || Download paper

  29. Flexible Modelling in Statistics: Past, present and Future. (2014). Ley, Christophe.
    In: Working Papers ECARES.
    RePEc:eca:wpaper:2013/175715.

    Full description at Econpapers || Download paper

  30. The centred parameterization and related quantities of the skew-t distribution. (2013). Arellano-Valle, Reinaldo B. ; Azzalini, Adelchi.
    In: Journal of Multivariate Analysis.
    RePEc:eee:jmvana:v:113:y:2013:i:c:p:73-90.

    Full description at Econpapers || Download paper

  31. Bayesian inference for the multivariate skew-normal model: A population Monte Carlo approach. (2013). Parisi, Antonio ; Liseo, Brunero.
    In: Computational Statistics & Data Analysis.
    RePEc:eee:csdana:v:63:y:2013:i:c:p:125-138.

    Full description at Econpapers || Download paper

  32. On the Fernández-Steel distribution: Inference and application. (2011). Leiva, Victor ; Castillo, Nabor O. ; Gomez, Hector W. ; Sanhueza, Antonio.
    In: Computational Statistics & Data Analysis.
    RePEc:eee:csdana:v:55:y:2011:i:11:p:2951-2961.

    Full description at Econpapers || Download paper

  33. A suite of commands for fitting the skew-normal and skew-t models. (2010). Marchenko, Yulia V. ; Genton, Marc G..
    In: Stata Journal.
    RePEc:tsj:stataj:v:10:y:2010:i:4:p:507-539.

    Full description at Econpapers || Download paper

  34. On the skew-normal calibration model. (2010). Sandoval, M. C. ; Bolfarine, H. ; C. R. O. P. Lima, ; Figueiredo, C. C..
    In: Journal of Applied Statistics.
    RePEc:taf:japsta:v:37:y:2010:i:3:p:435-451.

    Full description at Econpapers || Download paper

  35. On the information matrix of the multivariate skew-t model. (2010). Arellano-Valle, Reinaldo B..
    In: Metron - International Journal of Statistics.
    RePEc:mtn:ancoec:100310.

    Full description at Econpapers || Download paper

  36. Truncated skew-normal distributions: moments, estimation by weighted moments and application to climatic data. (2010). Naveau, Philippe ; Allard, Denis ; Flecher, Cedric .
    In: Metron - International Journal of Statistics.
    RePEc:mtn:ancoec:100308.

    Full description at Econpapers || Download paper

  37. On Fisher information matrices and profile log-likelihood functions in generalized skew-elliptical models. (2010). Paindaveine, Davy ; Ley, Christophe.
    In: Metron - International Journal of Statistics.
    RePEc:mtn:ancoec:100302.

    Full description at Econpapers || Download paper

  38. On the singularity of multivariate skew-symmetric models. (2010). Paindaveine, Davy ; Ley, Christophe.
    In: Journal of Multivariate Analysis.
    RePEc:eee:jmvana:v:101:y:2010:i:6:p:1434-1444.

    Full description at Econpapers || Download paper

  39. Skew-Normal Mixture and Markov-Switching GARCH Processes. (2010). Haas, Markus.
    In: Studies in Nonlinear Dynamics & Econometrics.
    RePEc:bpj:sndecm:v:14:y:2010:i:4:n:1.

    Full description at Econpapers || Download paper

  40. On the Singularity of Multivariate Skew-Symmetric Models. (2009). Paindaveine, Davy ; Ley, Christophe.
    In: Working Papers ECARES.
    RePEc:eca:wpaper:2013/230741.

    Full description at Econpapers || Download paper

Coauthors

Authors registered in RePEc who have wrote about the same topic

Report date: 2025-09-30 08:16:11 || 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.