Statistics
9426 papers in Statistics
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TITLE
DATE
VIEWS
Data-driven calibration of penalties for least-squares regression
By Sylvain Arlot (LM-Orsay, INRIA Futurs), Pascal Massart (LM-Orsay · ArXiv: 0802.0837
2010-07-02
0
Modelisation factorielle des interactions entre deux ensembles dobservations : la methode PLS-FILM (Partial Least Squares Factor Interaction Linear Modelling)
By Xavier Bry (I3M), Thomas Verron (CEFE) · ArXiv: 0802.0794
2008-02-07
0
A multiple covariance approach to PLS regression with several predictor groups: Structural Equation Exploratory Regression
By Xavier Bry (I3M), Thomas Verron (CEFE), Pierre Cazes (CEREMADE) · ArXiv: 0802.0793
2008-02-12
0
Rejoinder: Bayesian Checking of the Second Levels of Hierarchical Models
By M. J. Bayarri, M. E. Castellanos · ArXiv: 0802.0754
2008-02-08
0
Comment: Bayesian Checking of the Second Level of Hierarchical Models: Cross-Validated Posterior Predictive Checks Using Discrepancy Measures
By Michael D. Larsen, Lu Lu · ArXiv: 0802.0752
2009-09-29
0
Comment: Bayesian Checking of the Second Levels of Hierarchical Models
By Valen E. Johnson · ArXiv: 0802.0749
2009-09-29
0
Comment: Bayesian Checking of the Second Levels of Hierarchical Models
By Andrew Gelman · ArXiv: 0802.0747
2009-09-29
0
Comment: Bayesian Checking of the Second Levels of Hierarchical Models
By M. Evans · ArXiv: 0802.0746
2009-09-29
0
Bayesian Checking of the Second Levels of Hierarchical Models
By M. J. Bayarri, M. E. Castellanos · ArXiv: 0802.0743
2008-02-08
0
Homoscedastic controlled calibration model
By Betsabe G. Blas Achic, M^onica C. S, oval · ArXiv: 0802.0691
2008-02-06
0
The Use of Domination Number of a Random Proximity Catch Digraph for Testing Spatial Patterns of Segregation and Association
By E. Ceyhan, C. E. Priebe · ArXiv: 0802.0638
2008-02-06
0
A New Family of Random Graphs for Testing Spatial Segregation
By E. Ceyhan, C. E. Priebe, D. J. Marchette · ArXiv: 0802.0615
2008-02-06
0
V-fold cross-validation improved: V-fold penalization
By Sylvain Arlot (LM-Orsay, INRIA Futurs) · ArXiv: 0802.0566
2008-02-07
0
A Conversation with Ingram Olkin
By **
Allan R. Sampson (Professor, Department of Statistics, University of Pittsburgh)
** · ArXiv: 0802.0557
2008-02-08
0
The distribution of the maximum of a first order moving average: the discrete case
By Christopher S. Withers, Saralees Nadarajah · ArXiv: 0802.0529
2009-04-06
0
The distribution of the maximum of a first order moving average: the continuous case
By Christopher S. Withers, Saralees Nadarajah · ArXiv: 0802.0523
2009-09-07
0
Usefulness of the Reversible Jump Markov Chain Monte Carlo Model in Regional Flood Frequency Analysis
By Mathieu Ribatet (UR HHLY, INRS), Eric Sauquet (UR HHLY) · ArXiv: 0802.0444
2008-02-05
0
Modeling All Exceedances Above a Threshold Using an Extremal Dependence Structure: Inferences on Several Flood Characteristics
By Mathieu Ribatet (UR HHLY, INRS), Taha B.M.J. Ouarda (INRS) · ArXiv: 0802.0436
2009-11-13
0
A regional Bayesian POT model for flood frequency analysis
By Mathieu Ribatet (UR HHLY, INRS), Eric Sauquet (UR HHLY) · ArXiv: 0802.0433
2008-02-05
0
Dynamic generalized linear models for non-Gaussian time series forecasting
By K. Triantafyllopoulos · ArXiv: 0802.0219
2008-02-05
0
Multivariate control charts based on Bayesian state space models
By K. Triantafyllopoulos · ArXiv: 0802.0218
2008-02-05
0
Posterior mean and variance approximation for regression and time series problems
By K. Triantafyllopoulos, P.J. Harrison · ArXiv: 0802.0213
2009-01-27
0
Covariance estimation for multivariate conditionally Gaussian dynamic linear models
By **
K. Triantafyllopoulos (University of Sheffield, 영국)
** · ArXiv: 0802.0191
2008-02-04
0
Stochastic extrema as stationary phases of characteristic functions
By S. Nikitin · ArXiv: 0801.4726
2008-01-31
3
Recursive Bias Estimation and $L_2$ Boosting
By Pierre Andre Cornillon, Nicolas Hengartner, Eric Matzner-Lober · ArXiv: 0801.4629
2008-01-31
0
On the Distribution of the Adaptive LASSO Estimator
By Benedikt M. P"otscher, Ulrike Schneider · ArXiv: 0801.4627
2009-04-28
0
The Inverse Simpson Paradox (How To Win Without Overtly Cheating)
By Ora E. Percus, Jerome K. Percus · ArXiv: 0801.4522
2008-01-30
1
The Synthesis of Regression Slopes in Meta-Analysis
By Betsy Jane Becker, Meng-Jia Wu · ArXiv: 0801.4442
2009-09-29
0
Fully Bayes factors with a generalized g-prior
By Yuzo Maruyama, Edward I. George · ArXiv: 0801.4410
2012-02-24
0
Getting Your Eye In: A Bayesian Analysis of Early Dismissals in Cricket
By Brendon J. Brewer · ArXiv: 0801.4408
2008-05-26
0