[73] Hartmann, N., Lussier, B., Chaker, N., Larocque, D. and Habel, J. (2024).
A Theory of Sales System Shocks. To appear in Journal of the Academy of Marketing Science.
|
[72] Elmasri, M., Labbe, A., Larocque, D. and Charlin, L. (2023).
Predictive Inference for Travel Time on Transportation Networks. To appear in Annals of Applied Statistics.
|
[71] Shi, T., Devailly, F.-X., Larocque, D. and Charlin, L. (2023).
Improving the Generalizability and Robustness of Large-Scale Traffic Signal Control. To appear in IEEE Open Journal of Intelligent Transportation Systems.
|
[70] Alakus, C., Larocque, D. and Labbe, A. (2023).
Covariance Regression with Random Forests. BMC Bioinformatics 24, 1-19.
|
[69] Yao, W., Frydman, H., Larocque, D. and Simonoff, J. S. (2022).
Ensemble Methods for Survival Function Estimation with Time-Varying Covariates. Statistical Methods in Medical Research 31, 2217-2236.
|
[68] Alakus, C., Larocque, D. and Labbe, A. (2022).
RFpredInterval: An R Package for Prediction Intervals with Random Forests and Boosted Forests. The R Journal 14, 300-319.
|
[67] Moradian, H., Yao, W., Larocque, D., Simonoff, J. S. and Frydman, H. (2022).
Dynamic Estimation with Random Forests for Discrete-Time Survival Data. The Canadian Journal of Statistics 50, 533-548.
|
[66] Devailly, F.-X., Larocque, D. and Charlin, L. (2022).
IG-RL: Inductive Graph Reinforcement Learning for Massive-Scale Traffic Signal Control. IEEE Transactions on Intelligent Transportation Systems 23, 7496-7507.
|
[65] Alakus, C., Larocque, D., Jacquemont, S., Barlaam, F., Martin, C.-O., Agbogba, K., Lippé, S. and Labbe, A. (2021).
Conditional Canonical Correlation Estimation Based on Covariates with Random Forests. Bioinformatics 37, 2714-2721.
|
[64] Débordès, J.-B., Caporossi, G. and Larocque, D. (2021).
Is my cross-promotion profitable? Evaluation of game-to-game cannibalization in free-to-play mobile games. Journal of Marketing Analytics 9, 173-184.
|
[63] Tabib, S. and Larocque, D. (2020).
Non-Parametric Individual Treatment Effect Estimation for Survival Data with Random Forests. Bioinformatics 36, 629–636.
|
[62] Mathlouthi, W., Larocque, D. and Fredette, M. (2020).
Random Forests for Homogeneous and Non-homogeneous Poisson Processes With Excess Zeros. Statistical Methods in Medical Research 29, 2217-2237.
|
[61] Lindstrom, M. R., Jung, H. and Larocque, D. (2020).
Functional Kernel Density Estimation: Point and Fourier Approaches to Time Series Anomaly Detection. Entropy 22, 1-15.
|
[60] Roy, M.-H. and Larocque, D. (2020).
Prediction Intervals with Random Forests. Statistical Methods in Medical Research 29, 205-229.
|
[59] Moradian, H., Larocque, D. and Bellavance, F. (2019).
Survival Forests for Data with Dependent Censoring. Statistical Methods in Medical Research 28, 445–461.
|
[58] Ahonen, I., Nevalainen, J. and Larocque, D. (2019).
Prediction With a Flexible Finite Mixture-of-Regressions. Computational Statistics and Data Analysis 132, 212-224.
|
[57] Grégoire, Y., Ghadami, F., Laporte, S., Sénécal, S., and Larocque, D. (2018).
How Can Firms Stop Customer Revenge? Understanding the Differential Effects of Direct versus Indirect Revenge Behaviors on Post Responses.
Journal of the Academy of Marketing Science 46, 1052-1071.
|
[56] Cenesizoglu, T. Larocque, D. and Normandin, M. (2018).
The Conventional Monetary Policy and the Term Structure of Interest Rates during the Financial Crisis.
Macroeconomic Dynamics 22, 2032-2069.
|
[55] Bouakez, H., Larocque, D. and Normandin, M. (2018).
Separating the Wheat From the Chaff: A Disaggregate Analysis of the Effects of Public Spending in the US.
Canadian Journal of Economics 51, 361-390.
|
[54] Ahonen, I., Larocque, D. and Nevalainen, J. (2017).
Global Tests for Novelty. Statistical Methods in Medical Research 26, 1867-1880.
|
[53] Moradian, H., Larocque, D. and Bellavance, F. (2017).
L1 Splitting Rules in Survival Forests. Lifetime Data Analysis 23, 671-691.
|
[52] Hajjem, A., Larocque, D. and Bellavance, F. (2017). Generalized Mixed Effects Regression Trees.
Statistics and Probability Letters 126, 114-118.
|
[51] Dine, A., Larocque, D. and Bellavance, F. (2017). Multivariate Forests with Missing Mixed Outcomes.
Communications in Statistics – Theory and Methods 46, 11500-11513.
|
[50] Bou-Hamad, I., Anouze, A. L. and Larocque, D. (2017).
An Integrated Approach of Data Envelopment Analysis and Boosted Generalized Linear Mixed Models for Efficiency Assessment.
Annals of Operations Research 253, 77-95.
|
[49] Legoux, R., Larocque, D., Laporte, S., Belmati, S. and Boquet, T. (2016).
The Effect of Critical Reviews on Exhibitors’ Decisions: Do Reviews Affect the Survival of a Movie on Screen?
International Journal of Research in Marketing 33, 357-374.
|
[48] Nevalainen, J. and Larocque, D. (2015).
L1-Regression for Multivariate Clustered Data. Modern Nonparametric, Robust
and Multivariate Methods, edited by K. Nordhausen and S. Taskinen. Springer. pp 225-234.
|
[47] Bouaddi, M. Larocque, D. and Normandin, M. (2015).
Equity Premia and State-Dependent Risks. International Review of Economics and Finance 38, 393-409.
|
[46] Mathlouthi, W., Fredette, M. and Larocque, D. (2015).
Regression Trees and Forests for Non-homogeneous Poisson Processes. Statistics and Probability Letters 96, 204-211.
|
[45] Alamargot, D., Flouret, L., Larocque, D., Caporossi, G., Pontart, V., Paduraru, C.,
Morrisset and P., Fayol, M. (2015).
Successful Written Subject Verb Agreement: An Online Analysis of the Procedure Used by Students in Grades 3, 5 and 12.
Reading and Writing 28, 291-312.
|
[44] Vidal, J.-P., Larocque, D. and Leroux, J. (2014). Base Erosion And Profit Shifting,
Reliability, And Future of the Transfer Pricing Methods. International Transfer Pricing Journal 21, 423-431.
|
[43] Hajjem, A., Bellavance, F. and Larocque, D. (2014). Mixed Effects Random Forest for Clustered Data.
Journal of Statistical Computation and Simulation 84, 1313-1328.
|
[42] Vidal, J.-P., Larocque, D. and Leroux, J. (2013). Incidence du petit nombre de comparables sur la
justice fiscale dans le domaine du prix de transfert.
Revue de planification fiscale et financière 33, 243-274.
|
[41] Dine, A., Larocque, D. and Bellavance, F. (2013). Combining Univariate and Multivariate Random Forests for
Enhancing Predictions of Mixed Outcomes. Analysis of Mixed Data: Methods and Applications, edited by A. R. de Leon and K. Carrière Chough. CRC Press,
Taylor & Francis Group. Pages 13-30.
|
[40] Roy, M.-H. and Larocque, D. (2012). Robustness of Random Forests for Regression.
Journal of Nonparametric Statistics 24, 993-1006.
Supplementary Materials.
|
[39] Lemponen, R., Larocque, D., Nevalainen, J. and Oja, H. (2012). Weighted Rank Tests and Hodges-Lehmann
Estimates for the Multivariate Two-Sample Location Problem with Clustered Data. Journal of Nonparametric Statistics 24, 977-991.
|
[38] Sausset, S., Lambert, É., Olive, T. and Larocque, D. (2012).
Processing of Syllables During Handwriting: Effects of Graphomotor Constraints.
Quarterly Journal of Experimental Psychology 65, 1872-1879.
|
[37] Aubert, B. A., Léger, P.-M. and Larocque, D. (2012).
Differentiating Weak Ties and Strong Ties Among External Sources of Influences
for Enterprise Resource Planning (ERP) Adoption. Enterprise Information Systems 6, 215-235.
|
[36] Bou-Hamad, I., Larocque, D. and Ben-Hameur, H. (2011). Discrete-Time Survival Trees and Forests with Time-Varying Covariates: Application to Bankruptcy Data. Statistical Modelling 11, 429-446.
|
[35] Bou-Hamad, I., Larocque, D. and Ben-Hameur, H. (2011). A Review of Survival Trees.
Statistics Surveys 5, 44-71.
|
[34] Tokola, K., Larocque, D., Nevalainen, J. and Oja, H. (2011). Power, Sample Size and Sampling Costs for Clustered Data.
Statistics and Probability Letters 81, 852-860.
|
[33] Hajjem, A., Bellavance, F. and Larocque, D. (2011). Mixed Effects Regression Trees for Clustered Data.
Statistics and Probability Letters 81, 451-459.
|
[32] Larocque, D. and Normandin, M. (2011). A Procedure to Evaluate Cyclical Fluctuations Under Superior Information. Applied Economics 43, 53-62. |
[31] Lambert, E., Alamargot, D., Larocque, D. and Caporossi, G. (2011). Dynamics of the Spelling Process during a Copy Task: Effects of Regularity and Frequency. Canadian Journal of Experimental Psychology 65, 141-150.
|
[30] Babin, G., Larocque, D. and Dine, A. (2011). Detecting Good Connections in an Unstructured Peer-to-Peer Network : The Case of Gnutella. Proceedings of the 11th International Conference on Innovative Internet Community Systems (I2CS 2011), pp 48-59. |
[29] Nevalainen, J., Larocque, D. Oja, H. and Pörsti, I. (2010). Nonparametric Analysis of Clustered Multivariate Data.
Journal of the American Statistical Association 105, 864–872.
|
[28] Larocque, D., Haataja, R., Nevalainen, J. and Oja, H. (2010). Two Sample Tests for the Nonparametric Behrens-Fisher Problem with Clustered Data. Journal of Nonparametric Statistics 22, 755-771.
|
[27] Larocque, D., Lincourt, G. and Normandin, M. (2010). Macroeconomic Effects of Terrorist Shocks in Israel. Defence and Peace Economics 21, 317-336. |
[26] Vidal, J.-P. and Larocque, D. (2009). Concurrence fiscale internationale et investissements. Stratège 14, 15-19. |
[25] Dine, A., Larocque, D. and Bellavance, F. (2009). Multivariate Trees for Mixed Outcomes. Computational Statistics & Data Analysis 53, 3795-3804.
|
[24] Haataja, R., Larocque, D., Nevalainen, J. and Oja, H. (2009). A Weighted Multivariate Signed-Rank Test for Cluster-Correlated Data. Journal of Multivariate Analysis 100, 1107-1119.
|
[23] Bou-Hamad, I., Larocque, D., Ben-Hameur, H., Mâsse, L. C., Vitaro, F. and Tremblay, R. E. (2009). Discrete-Time Survival Trees. Canadian Journal of Statistics 37, 17-32.
|
[22] Larocque, D., Nevalainen, J. and Oja, H. (2008). One-Sample Location Tests for Multilevel Data.
Journal of Statistical Planning and Inference 138, 2469-2482.
|
[21] Larocque, D. and Randles, R. H. (2008). Confidence Intervals for a Discrete Population Median.
The American Statistician 62, 32-39.
|
[20] Wall, L., Larocque, D. and Léger, P.-M. (2008). The early explanatory power of NDVI in crop yield modeling. International Journal of Remote Sensing 29, 2211-2225.
|
[19] Larocque, D., Nevalainen, J. and Oja, H. (2007). A Weighted Multivariate Sign Test for Cluster-Correlated Data. Biometrika 94, 267-283.
|
[18] Nevalainen, J., Larocque, D. and Oja, H. (2007). On the Multivariate Spatial Median for Clustered Data. Canadian Journal of Statistics 35, 215-231.
|
[17] Nevalainen, J., Larocque, D. and Oja, H. (2007). A Weighted Spatial Median for Clustered Data. Statistical Methods & Applications 15, 355-379. (Special Issue on Robust Statistics).
|
[16] Hamza, M. and Larocque, D. (2005). An Empirical Comparison of Ensemble Methods Based on Classification Trees. Journal of Statistical Computation and Simulation 75, 629-643. |
[15] Larocque, D. (2005). The Wilcoxon Signed-Rank Test for Cluster Correlated
Data. Statistical Modeling and Analysis for Complex Data Problem. Duchesne, P. and Rémillard, B., Editors. Springer. |
[14] Larocque, D. and Labarre, M. (2004). A Conditionally Distribution-Free Multivariate Sign Test for One-Sided Alternatives. Journal of the American Statistical Association 99, 499-509. |
[13] Pagani, L. S., Larocque, D., Tremblay, R. E. and Lapointe, P. (2004). The Impact of Junior Kindergarten on Math Skills in Elementary School Children. Canadian Journal of School Psychology 19, 117-136.
|
[12] Larocque, D. (2003). An Affine-Invariant Multivariate Sign Test for Cluster Correlated Data. Canadian Journal of Statistics 31, 437-455. |
[11] Larocque, D. and Bussières, I. (2003). An Aligned
Rank Test for the Bivariate Randomized Block Model. Mathematical Statistics and Applications: Festschrift for Constance van
Eeden. Froda, S., Léger, C. and Moore, M., Editors.
IMS Lecture Notes Monograph Series 42, 85-98. |
[10] Larocque, D., Tardif, S. and van Eeden,
C. (2003). An Affine-Invariant
Generalization of the Wilcoxon Signed-Rank Test for the Bivariate Location
Problem. Australian & New Zealand Journal of Statistics 45, 153-165. |
[9] Larocque, D., Tardif, S. and van Eeden,
C. (2003). Affine-Invariant
Rank Tests for the Bivariate One-Way Layout and for Simple Regression Models.
Statistics 37, 33-50. |
[8] Pagani, L. S., Larocque, D., Tremblay,
R. E. and Lapointe, P. (2003). The impact of junior kindergarten on behavior in elementary
school children. International Journal of Behavioral Development 27, 427-427.
|
[7] Pagani, L. S., Larocque, D., Vitaro, F. and
Tremblay, R. E. (2003). Verbal and physical abuse toward mothers:
The role of family configuration, environment, and coping strategies. Journal of Youth and Adolescence 32, 215-222. |
[6] Gatti, U., Tremblay, R. E. and Larocque,
D. (2003). Civic Community and Juvenile Delinquency : A Study of the Regions of Italy.
British Journal of Criminology 43, 22-40. |
[5] Vitaro, F., Larocque, D., Janosz, M. and
Tremblay, R. E. (2001). Disruptiveness, Negative Social Experiences and Dropping
Out of School. Educational Psychology 21, 401-415. |
[4] Larocque, D., Tardif, S. and van Eeden,
C. (2000). Bivariate
Sign Tests Based on the Sup, L1 and L2-Norms. Annals of the Institute
of Statistical Mathematics 52, 488-506. |
[3] Gosselin, C., Larocque, D., Vitaro, F.
and Gagnon C. (2000). Identification des facteurs liés à la consommation
de cigarettes, d'alcool et de drogues à l'adolescence. International
Journal of Psychology 35, 46-59. |
[2] Larocque, D. and Tardif, S. (1995). Development of an Optimal
Test Based on Weighted Rankings. Communication in Statistic- Simulation
and Computation 24, 367-383. |
[1] Larocque, D. and Léger, C. (1994).
Bootstrap
Estimate of the Power of a Rank Test in a Randomized Block Design.
Statistica Sinica 4, 423-443. |