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2. Favorable stopover sites and fuel load dynamics of spring bird migrants under a changing climate. (2025). Barboutis, Christos ; Kassara, Christina ; Bounas, Anastasios.
   In: Climatic Change.
   RePEc:spr:climat:v:178:y:2025:i:1:d:10.1007_s10584-024-03829-9.

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3. Variation in wood density across South American tropical forests. (2025). Ruokolainen, Kalle ; Cardoso, Domingos ; Gonzalez, Roy ; Cotta, Italo Antnio ; Coelho, Fernanda ; Vilanova, Emilio ; Gutierrez, Alexander Parada ; Marimon, Ben Hur ; Zuidema, Pieter A ; Duque, Alvaro ; Serrano, Julio ; Poorter, Lourens ; Negreiros, Daniel ; Berenguer, Erika ; Honorio, Eurdice N ; Talbot, Joey ; Roucoux, Katherine ; Costa, Flvia ; Kalamandeen, Michelle ; Dvila, Esteban Lvarez ; Comiskey, James A ; Villalobos, Jeanneth M ; Molina, Guido Pardo ; Martnez-Villa, Johanna Andrea ; Ishida, Francoise Yoko ; Rangel, Cristabel Durn ; Silman, Miles ; Candida, Nayane Cristina ; Lima, Adriano Nogueira ; Barroso, Jorcely ; Fernandes, Wilson G ; Thomas, Raquel ; Ryan, Casey M ; Valverde, Fernando Cornejo ; Joly, Carlos A ; Lewis, Simon L ; Ferreira, Joice ; Villela, Dora M ; Pedra, Karla Maria ; Reis, Simone Matias ; Laurance, William F ; Elias, Fernando ; Silva, Richarlly C ; Ramrez-Angulo, Hirma ; Vargas, Percy Nez ; Barlow, Jos ; Carniello, Maria Antonia ; Toledo, Marisol ; Revilla, Norma Salinas ; Lola, Antonio Carlos ; Iguatemy, Mariana ; Lopez-Gonzalez, Gabriela ; Killeen, Timothy ; Viscarra, Laura Jessica ; Pea-Claros, Marielos ; Metzker, Thiago ; Levesley, Aurora ; Esquivel-Muelbert, Adriane ; Rodriguez, Carlos Reynel ; Oliveira, Washington L ; Blundo, Cecilia ; Camargo, Jos Lus ; Terborgh, John ; Salomao, Rafael ; Medeiros, Marcelo Brilhante ; Huasco, Walter Huaraca ; Magnusson, William ; Almeida, Jarcilene ; Wortel, Verginia ; Francisco, Pablo Jos ; Milliken, William ; Palacios, Sonia Cesarina ; Farfan-Rios, William ; Rivas-Torres, Gonzalo ; Baccaro, Fabrcio ; Alves, Luciana F ; Cabral, George ; Steege, Hans ; Santos, Rubens M ; Pasquel, Jhon Aguila ; Malhi, Yadvinder ; Vos, Vincent A ; Pennington, Toby R ; Monteagudo-Mendoza, Abel ; Ribeiro, Sabina Cerruto ; Fauset, Sophie ; Silveira, Marcos ; Melo, Omar Aurelio ; Andrade, Ana ; Burban, Benoit ; Hout, Peter ; Sarkinen, Tiina ; Cabreara, Karina Garcia ; Klitgaard, Bente ; Malizia, Lucio ; Dexter, Kyle G ; Pickavance, Georgia C ; Moonlight, Peter ; Cavalheiro, Larissa ; Baker, Timothy R ; Simon, Marcelo F ; Rodrigues, Domingos Jesus ; Arroyo, Luzmila ; Aragao, Luiz ; Broggio, Igor S ; Trujillo, William ; Scabin, Andressa ; Gomes, Joao Carlos ; Klipel, Joice ; Galbraith, David ; Disney, Mat ; Pipoly, John ; Morandi, Paulo S ; Bonal, Damien ; Soto-Shareva, Yahn Carlos ; Sousa, Thaiane Rodrigues ; Arets, Eric ; Dan, Maurcio Lima ; Torres-Lezama, Armando ; Manzatto, Angelo Gilberto ; Phillips, Oliver L ; Esprito, Mrio M ; Bergamin, Rodrigo Scarton ; Moser, Pamela ; Castro, Wendeson ; Bongers, Frans ; Souza, Priscila ; Araujo-Murakami, Alejandro ; Herrera, Rafael ; Rjou-McHain, Maxime ; Bordin, Kauane Maiara ; Dores, Maria Das ; Marcelo, Jose Luis ; Domingues, Tomas F ; Schietti, Juliana ; Playfair, Maureen ; Mller, Sandra C ; Banki, Olaf ; Derroire, Graldine ; Baraloto, Christopher ; Hernndez, Lionel ; Moscoso, Victor Chama ; Chave, Jerme ; Vieira, Simone A ; Pallqui, Nadir C ; Zwerts, Joeri A ; Dourdain, Aurlie ; Meira, Milton Serpa ; Pontes-Lopes, Aline ; Nascimento, Marcelo ; Blanc, Lilian ; Feldpausch, Ted ; Sposito, Tereza.
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4. Electric vehicle adoption and planning: The increasing importance of the built environment. (2025). Nateghi, Roshanak ; Cai, Hua ; Genc, Utkuhan ; Hardaway, Kendrick.
   In: Journal of Transport Geography.
   RePEc:eee:jotrge:v:123:y:2025:i:c:s0966692325000067.

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5. Corporate carbon emissions and financial performance: A flexible copula-based model to address non-random sample selection. (2025). Zanin, Luca.
   In: Economics Letters.
   RePEc:eee:ecolet:v:247:y:2025:i:c:s0165176525000254.

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6. Spatial Confounding and Spatial+ for Nonlinear Covariate Effects. (2024). Augustin, Nicole H ; Dupont, Emiko.
   In: Journal of Agricultural, Biological and Environmental Statistics.
   RePEc:spr:jagbes:v:29:y:2024:i:3:d:10.1007_s13253-023-00586-7.

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7. Feature selection algorithms in generalized additive models under concurvity. (2024). Kovcs, Lszl.
   In: Computational Statistics.
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8. A digital Technology–Cultural resource strategy to drive innovation in cultural industries: A dynamic analysis based on machine learning. (2024). Huang, Yong ; Wang, Mingsheng.
   In: Technology in Society.
   RePEc:eee:teinso:v:77:y:2024:i:c:s0160791x24001386.

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9. Assessing the contribution of hydrologic and climatic factors on vegetation condition changes in semi-arid wetlands: An analysis for the Narran Lakes. (2024). Hamilton, Serena H ; Liu, Moyang ; Lerat, Julien ; Savage, Callum ; Jakeman, Anthony J.
   In: Ecological Modelling.
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10. Estimating Causal Effects with Double Machine Learning -- A Method Evaluation. (2024). Berens, Philipp ; Fuhr, Jonathan ; Papies, Dominik.
    In: Papers.
    RePEc:arx:papers:2403.14385.

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11. Estimating spatially disaggregated probability of severe COVID-19 and the impact of handwashing interventions : The case of Zimbabwe. (2023). Emi, Sophie Charlotte ; Milusheva, Sveta ; Joseph, George ; Mapako, Tonderai ; William, Hugh James ; Hoo, Yi Rong.
    In: Policy Research Working Paper Series.
    RePEc:wbk:wbrwps:10328.

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12. The Importance of Maintenance : Geospatial Analysis of Cholera Risk and Water and Sanitation Infrastructure in Harare, Zimbabwe. (2023). Milusheva, Sveta ; Hoo, Yi Rong ; Joseph, George ; William, Hugh James ; Emi, Sophie Charlotte ; Kashangura, Faith Maidei.
    In: Policy Research Working Paper Series.
    RePEc:wbk:wbrwps:10327.

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13. Trajectories of freshwater microbial genomics and greenhouse gas saturation upon glacial retreat. (2023). Valiente, Nicolas ; Fontaine, Laurent ; Wei, Jing ; Hessen, Dag O ; Eiler, Alexander ; Dorsch, Peter.
    In: Nature Communications.
    RePEc:nat:natcom:v:14:y:2023:i:1:d:10.1038_s41467-023-38806-w.

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14. Bayes factor asymptotics for variable selection in the Gaussian process framework. (2022). Bhattacharya, Sourabh ; Mukhopadhyay, Minerva.
    In: Annals of the Institute of Statistical Mathematics.
    RePEc:spr:aistmt:v:74:y:2022:i:3:d:10.1007_s10463-021-00810-6.

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15. Cognability: An Ecological Theory of neighborhoods and cognitive aging. (2022). Judd, Suzanne ; Clarke, Philippa ; Esposito, Michael ; Langa, Kenneth M ; Finlay, Jessica.
    In: Social Science & Medicine.
    RePEc:eee:socmed:v:309:y:2022:i:c:s0277953622005263.

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16. Ultrahigh‐dimensional generalized additive model: Unified theory and methods. (2022). Maiti, Tapabrata ; Yang, Kaixu.
    In: Scandinavian Journal of Statistics.
    RePEc:bla:scjsta:v:49:y:2022:i:3:p:917-942.

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17. A Bayesian non‐linear state space copula model for air pollution in Beijing. (2022). Dalla Valle, Luciana ; Czado, Claudia ; Kreuzer, Alexander.
    In: Journal of the Royal Statistical Society Series C.
    RePEc:bla:jorssc:v:71:y:2022:i:3:p:613-638.

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18. Mapping ex ante risks of COVID‐19 in Indonesia using a Bayesian geostatistical model on airport network data. (2022). Kneib, Thomas ; Katos, Krisztina Kis ; Seufert, Jacqueline D ; Cisneros, Elias ; Weisser, Christoph ; Python, Andre.
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19. Varying-Coefficient Stochastic Differential Equations with Applications in Ecology. (2021). Michelot, Theo ; Glennie, Richard ; Thomas, Len ; Harris, Catriona.
    In: Journal of Agricultural, Biological and Environmental Statistics.
    RePEc:spr:jagbes:v:26:y:2021:i:3:d:10.1007_s13253-021-00450-6.

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20. Laplace approximations for fast Bayesian inference in generalized additive models based on P-splines. (2021). Lambert, Philippe ; Gressani, Oswaldo.
    In: Computational Statistics & Data Analysis.
    RePEc:eee:csdana:v:154:y:2021:i:c:s0167947320301791.

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21. Spatio-Temporal Dynamic of Malaria Incidence: A Comparison of Two Ecological Zones in Mali. (2020). Winch, Peter John ; Gaudart, Jean ; Koita, Ousmane A ; Sagara, Issaka ; Sogoba, Nafomon ; Marker, Hannah Catherine ; Dolo, Mathias ; Ateba, Franois Freddy ; Febrero-Bande, Manuel ; Konate, Drissa ; Coulibaly, Mamadou D ; Krogtad, Donald J ; Diawara, Sory Ibrahim ; Toure, Mahamoudou ; Diarra, Ayouba ; Thiam, Sidibe Mbaye ; Diakite, Mahamadou ; Doumbia, Seydou ; Cissoko, Mady ; Sissako, Aliou ; Traore, Sekou Fantamady ; Sangare, Lansana ; Sacko, Aissata ; Samba, Seidina Aboubacar ; Shaffer, Jeffrey G.
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22. The Laplace-P-spline methodology for fast approximate Bayesian inference in additive partial linear models. (2020). Lambert, Philippe ; Gressani, Oswaldo.
    In: LIDAM Discussion Papers ISBA.
    RePEc:aiz:louvad:2020020.

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23. Extending Bayesian back-calculation to estimate age and time specific HIV incidence. (2019). Gill, Noel O ; Plummer, Martyn T ; Brizzi, Francesco ; Angelis, Daniela ; Brown, Alison E ; Delpech, Valerie C ; Kirwan, Peter ; Birrell, Paul J.
    In: Lifetime Data Analysis: An International Journal Devoted to Statistical Methods and Applications for Time-to-Event Data.
    RePEc:spr:lifeda:v:25:y:2019:i:4:d:10.1007_s10985-019-09465-1.

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24. Does doing “good” always translate into doing “well”? An eco‐efficiency perspective. (2019). Tzeremes, Nickolaos ; Managi, Shunsuke ; Broadstock, David ; Matousek, Roman.
    In: Business Strategy and the Environment.
    RePEc:bla:bstrat:v:28:y:2019:i:6:p:1199-1217.

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25. What is behind homicide gender gaps in Mexico? A spatial semiparametric approach. (2018). Torres, Juan Armando.
    In: Ibero America Institute for Econ. Research (IAI) Discussion Papers.
    RePEc:got:iaidps:236.

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26. Combining acoustic and visual detections in habitat models of Dall’s porpoise. (2018). Yack, Tina ; Moore, Thomas J ; Redfern, Jessica V ; Barlow, Jay ; Becker, Elizabeth A ; Fleming, Alyson H.
    In: Ecological Modelling.
    RePEc:eee:ecomod:v:384:y:2018:i:c:p:198-208.

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27. Spline‐based nonparametric inference in general state‐switching models. (2018). Papastamatiou, Yannis P ; Leosbarajas, Vianey ; Adam, Timo ; Mews, Sina ; Langrock, Roland ; Miller, David L.
    In: Statistica Neerlandica.
    RePEc:bla:stanee:v:72:y:2018:i:3:p:179-200.

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28. Modeling temporal treatment effects with zero inflated semi-parametric regression models: the case of local development policies in France. (2017). Musolesi, Antonio ; Cardot, Herv.
    In: Working Papers.
    RePEc:udf:wpaper:2017036.

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29. Calorie intake and income in China: New evidence using semiparametric modelling with generalized additive models. (2017). THOMAS-AGNAN, Christine ; Trinh, Thi Huong ; Simioni, Michel.
    In: TSE Working Papers.
    RePEc:tse:wpaper:31804.

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30. Modeling temporal treatment effects with zero inflated semi-parametric regression models: the case of local development policies in France. (2017). Musolesi, Antonio ; Cardot, Herve.
    In: SEEDS Working Papers.
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31. Wildfire occurrence patterns in ecoregions of New South Wales and Australian Capital Territory, Australia. (2017). Zhang, Yang ; Lim, Samsung ; Sharples, Jason John .
    In: Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards.
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32. Non-linear models for extremal dependence. (2017). Chavez-Demoulin, Valerie ; Naveau, Philippe ; Mhalla, Linda.
    In: Journal of Multivariate Analysis.
    RePEc:eee:jmvana:v:159:y:2017:i:c:p:49-66.

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33. Smoothing Parameter and Model Selection for General Smooth Models. (2016). Wood, Simon N ; Pya, Natalya ; Safken, Benjamin.
    In: Journal of the American Statistical Association.
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34. Additive model selection. (2016). Amato, Umberto ; de Feis, Italia ; Antoniadis, Anestis.
    In: Statistical Methods & Applications.
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35. Spatial Models of Abundance and Habitat Preferences of Commerson’s and Peale’s Dolphin in Southern Patagonian Waters. (2016). Miller, David L ; Scioscia, Gabriela ; Rey, Andrea Raya ; Pierce, Graham J ; Dellabianca, Natalia A ; Natalie, R ; Paso, Natalia M ; Torres, Mnica A.
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36. Fast Bayesian model assessment for nonparametric additive regression. (2014). Ghosal, Subhashis ; Banerjee, Sayantan ; Curtis, McKay S..
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37. Penalized likelihood and Bayesian function selection in regression models. (2013). Kneib, Thomas ; Fahrmeir, Ludwig ; Scheipl, Fabian.
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    RePEc:spr:alstar:v:97:y:2013:i:4:p:349-385.

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38. Variable selection in high-dimensional partially linear additive models for composite quantile regression. (2013). Tian, Maozai ; Tang, Manlai ; Zhu, Kai ; Guo, Jie.
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    RePEc:eee:csdana:v:65:y:2013:i:c:p:56-67.

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39. Bond pricing with a surface of zero coupon yields. (2013). Murik, Vijay A..
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6. Robust boosting for regression problems. (2021). Ju, Xiaomeng ; Salibian-Barrera, Matias.
   In: Computational Statistics & Data Analysis.
   RePEc:eee:csdana:v:153:y:2021:i:c:s0167947320301560.

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7. Boosting Tax Revenues with Mixed-Frequency Data in the Aftermath of Covid-19: The Case of New York. (2021). Lahiri, Kajal ; Yang, Cheng.
   In: CESifo Working Paper Series.
   RePEc:ces:ceswps:_9365.

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8. Why are some Chinese firms failing in the US capital markets? A machine learning approach. (2020). HASAN, IFTEKHAR ; Fu, Mengchuan ; Colak, Gonul.
   In: Pacific-Basin Finance Journal.
   RePEc:eee:pacfin:v:61:y:2020:i:c:s0927538x20300822.

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9. Grabit: Gradient tree-boosted Tobit models for default prediction. (2019). Sigrist, Fabio ; Hirnschall, Christoph.
   In: Journal of Banking & Finance.
   RePEc:eee:jbfina:v:102:y:2019:i:c:p:177-192.

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10. Nonparametric Variable Selection and Its Application to Additive Models. (2018). Lin, LU ; Zhu, Li-Xing ; Feng, Zheng-Hui.
    In: IRTG 1792 Discussion Papers.
    RePEc:zbw:irtgdp:2018002.

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11. Boosting conditional logit model. (2018). Shi, Haolun ; Yin, Guosheng.
    In: Journal of choice modelling.
    RePEc:eee:eejocm:v:26:y:2018:i:c:p:48-63.

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12. An integrated approach of data envelopment analysis and boosted generalized linear mixed models for efficiency assessment. (2017). Anouze, Abdel Latef ; Bou-Hamad, Imad ; Larocque, Denis.
    In: Annals of Operations Research.
    RePEc:spr:annopr:v:253:y:2017:i:1:d:10.1007_s10479-016-2348-4.

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13. Additive model selection. (2016). Amato, Umberto ; de Feis, Italia ; Antoniadis, Anestis.
    In: Statistical Methods & Applications.
    RePEc:spr:stmapp:v:25:y:2016:i:4:d:10.1007_s10260-016-0357-8.

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14. gamboostLSS: An R Package for Model Building and Variable Selection in the GAMLSS Framework. (2016). Schmid, Matthias ; Hofner, Benjamin ; Mayr, Andreas.
    In: Journal of Statistical Software.
    RePEc:jss:jstsof:v:074:i01.

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15. Day-ahead hourly electricity load modeling by functional regression. (2016). Feng, Yonghan ; Ryan, Sarah M.
    In: Applied Energy.
    RePEc:eee:appene:v:170:y:2016:i:c:p:455-465.

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16. ifo Konjunkturumfragen und Konjunkturanalyse: Band II. (2016). Nierhaus, Wolfgang ; Wollmershauser, Timo.
    In: ifo Forschungsberichte.
    RePEc:ces:ifofob:72.

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17. Causal inference by using invariant prediction: identification and confidence intervals. (2016). Buhlmann, Peter ; Meinshausen, Nicolai ; Peters, Jonas.
    In: Journal of the Royal Statistical Society Series B.
    RePEc:bla:jorssb:v:78:y:2016:i:5:p:947-1012.

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18. The role of component-wise boosting for regional economic forecasting. (2015). Wohlrabe, Klaus ; Lehmann, Robert.
    In: MPRA Paper.
    RePEc:pra:mprapa:68186.

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19. Looking into the Black Box of Boosting: The Case of Germany. (2015). Wohlrabe, Klaus ; Lehmann, Robert.
    In: MPRA Paper.
    RePEc:pra:mprapa:67608.

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20. Stock market volatility: Identifying major drivers and the nature of their impact. (2015). Mittnik, Stefan ; Robinzonov, Nikolay ; Spindler, Martin.
    In: Journal of Banking & Finance.
    RePEc:eee:jbfina:v:58:y:2015:i:c:p:1-14.

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21. Variable selection in general multinomial logit models. (2015). Ponecker, Wolfgang ; Uhlmann, Lorenz ; Tutz, Gerhard.
    In: Computational Statistics & Data Analysis.
    RePEc:eee:csdana:v:82:y:2015:i:c:p:207-222.

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22. Looking into the Black Box of Boosting: The Case of Germany. (2015). Wohlrabe, Klaus ; Lehmann, Robert.
    In: CESifo Working Paper Series.
    RePEc:ces:ceswps:_5686.

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23. Forecasting Aggregates with Disaggregate Variables: Does boosting help to select the most informative predictors?. (2014). Zeng, Jing.
    In: VfS Annual Conference 2014 (Hamburg): Evidence-based Economic Policy.
    RePEc:zbw:vfsc14:100310.

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24. Boosting multi-step autoregressive forecasts. (2014). Hyndman, Rob ; Ben Taieb, Souhaib.
    In: Monash Econometrics and Business Statistics Working Papers.
    RePEc:msh:ebswps:2014-13.

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25. Forecasting Aggregates with Disaggregate Variables: Does Boosting Help to Select the Most Relevant Predictors?. (2014). Zeng, Jing.
    In: Working Paper Series of the Department of Economics, University of Konstanz.
    RePEc:knz:dpteco:1420.

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26. A gradient boosting approach to the Kaggle load forecasting competition. (2014). Hyndman, Rob ; Ben Taieb, Souhaib.
    In: International Journal of Forecasting.
    RePEc:eee:intfor:v:30:y:2014:i:2:p:382-394.

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27. Forecasting with approximate dynamic factor models: The role of non-pervasive shocks. (2014). Luciani, Matteo.
    In: International Journal of Forecasting.
    RePEc:eee:intfor:v:30:y:2014:i:1:p:20-29.

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28. Forecasting financial and macroeconomic variables using data reduction methods: New empirical evidence. (2014). Swanson, Norman ; Kim, Hyun Hak.
    In: Journal of Econometrics.
    RePEc:eee:econom:v:178:y:2014:i:p2:p:352-367.

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29. A boosting approach for adapting the sparsity of risk prediction signatures based on different molecular levels. (2014). Martin, Schumacher ; Murat, Sariyar ; Harald, Binder .
    In: Statistical Applications in Genetics and Molecular Biology.
    RePEc:bpj:sagmbi:v:13:y:2014:i:3:p:15:n:4.

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30. Penalized likelihood and Bayesian function selection in regression models. (2013). Kneib, Thomas ; Fahrmeir, Ludwig ; Scheipl, Fabian.
    In: AStA Advances in Statistical Analysis.
    RePEc:spr:alstar:v:97:y:2013:i:4:p:349-385.

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31. Multinomial logit models with implicit variable selection. (2013). Tutz, Gerhard ; Zahid, Faisal .
    In: Advances in Data Analysis and Classification.
    RePEc:spr:advdac:v:7:y:2013:i:4:p:393-416.

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32. Variable Selection in Predictive Regressions. (2013). Ng, Serena.
    In: Handbook of Economic Forecasting.
    RePEc:eee:ecofch:2-752.

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33. Forecasting with many predictors: Is boosting a viable alternative?. (2011). Wohlrabe, Klaus ; Buchen, Teresa.
    In: Economics Letters.
    RePEc:eee:ecolet:v:113:y:2011:i:1:p:16-18.

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34. Practical variable selection for generalized additive models. (2011). Wood, Simon N. ; Marra, Giampiero.
    In: Computational Statistics & Data Analysis.
    RePEc:eee:csdana:v:55:y:2011:i:7:p:2372-2387.

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35. Boosting local quasi-likelihood estimators. (2010). Ueki, Masao ; Fueda, Kaoru .
    In: Annals of the Institute of Statistical Mathematics.
    RePEc:spr:aistmt:v:62:y:2010:i:2:p:235-248.

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36. Early stopping in L2Boosting. (2010). Huang, Yufen ; Chang, Yuan-Chin Ivan.
    In: Computational Statistics & Data Analysis.
    RePEc:eee:csdana:v:54:y:2010:i:10:p:2203-2213.

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37. Buckley-James Boosting for Survival Analysis with High-Dimensional Biomarker Data. (2010). Wang, Zhu.
    In: Statistical Applications in Genetics and Molecular Biology.
    RePEc:bpj:sagmbi:v:9:y:2010:i:1:n:24.

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38. Boosting diffusion indices. (2009). Ng, Serena ; Bai, Jushan.
    In: Journal of Applied Econometrics.
    RePEc:jae:japmet:v:24:y:2009:i:4:p:607-629.

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39. Boosting nonlinear additive autoregressive time series. (2009). Shafik, Nivien ; Tutz, Gerhard.
    In: Computational Statistics & Data Analysis.
    RePEc:eee:csdana:v:53:y:2009:i:7:p:2453-2464.

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40. Shrinkage and model selection with correlated variables via weighted fusion. (2009). Daye, John Z. ; Jeng, Jessie X..
    In: Computational Statistics & Data Analysis.
    RePEc:eee:csdana:v:53:y:2009:i:4:p:1284-1298.

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41. IFOCAST: Methoden der ifo-Kurzfristprognose. (2009). Wohlrabe, Klaus ; Mayr, Johannes ; Henzel, Steffen ; Carstensen, Kai.
    In: ifo Schnelldienst.
    RePEc:ces:ifosdt:v:62:y:2009:i:23:p:15-28.

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42. Selecting Instrumental Variables in a Data Rich Environment. (2009). Ng, Serena ; Bai, Jushan.
    In: Journal of Time Series Econometrics.
    RePEc:bpj:jtsmet:v:1:y:2009:i:1:n:4.

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43. Boosting additive models using component-wise P-Splines. (2008). Hothorn, Torsten ; Schmid, Matthias.
    In: Computational Statistics & Data Analysis.
    RePEc:eee:csdana:v:53:y:2008:i:2:p:298-311.

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44. Adapting Prediction Error Estimates for Biased Complexity Selection in High-Dimensional Bootstrap Samples. (2008). Schumacher, Martin ; Binder, Harald.
    In: Statistical Applications in Genetics and Molecular Biology.
    RePEc:bpj:sagmbi:v:7:y:2008:i:1:n:12.

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45. Convergence rates of general regularization methods for statistical inverse problems and applications. (2007). Ruymgaart, F. ; Munk, Axel ; Hohage, T. ; Bissantz, Nicolai.
    In: Technical Reports.
    RePEc:zbw:sfb475:200704.

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46. Accurate Short-Term Yield Curve Forecasting using Functional Gradient Descent. (2007). Trojani, Fabio ; Audrino, Francesco.
    In: University of St. Gallen Department of Economics working paper series 2007.
    RePEc:usg:dp2007:2007-24.

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47. A stochastic approximation view of boosting. (2007). Chang, Yuan-Chin Ivan ; Tsao, Andy C..
    In: Computational Statistics & Data Analysis.
    RePEc:eee:csdana:v:52:y:2007:i:1:p:325-334.

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48. Knot selection by boosting techniques. (2007). Tutz, Gerhard ; Leitenstorfer, Florian.
    In: Computational Statistics & Data Analysis.
    RePEc:eee:csdana:v:51:y:2007:i:9:p:4605-4621.

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49. Boosting ridge regression. (2007). Binder, Harald ; Tutz, Gerhard.
    In: Computational Statistics & Data Analysis.
    RePEc:eee:csdana:v:51:y:2007:i:12:p:6044-6059.

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50. Response shrinkage estimators in binary regression. (2006). Tutz, Gerhard ; Leitenstorfer, Florian.
    In: Computational Statistics & Data Analysis.
    RePEc:eee:csdana:v:50:y:2006:i:10:p:2878-2901.

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51. Accurate Yield Curve Scenarios Generation using Functional Gradient Descent. (2005). Trojani, Fabio ; Audrino, Francesco.
    In: Computing in Economics and Finance 2005.
    RePEc:sce:scecf5:14.

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52. A note on margin-based loss functions in classification. (2004). Lin, YI.
    In: Statistics & Probability Letters.
    RePEc:eee:stapro:v:68:y:2004:i:1:p:73-82.

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