6 months ago by Frederic Bertrand
Selection, Reverse-Engineering and Prediction in Cascade Networks
a year ago by Frederic Bertrand
Experimental Data of Cascade Experiments in Genomics
a year ago by Frederic Bertrand
Deciphering Biological Networks with Patterned Heterogeneous Measurements
a year ago by Frederic Bertrand
A General Algorithm to Enhance the Performance of Variable Selection Methods in Correlated Datasets
7 months ago by Frederic Bertrand
SelectBoost-Style Variable Selection for Functional Data Analysis
a year ago by Frederic Bertrand
Stability-Selection via Correlated Resampling for Beta-Regression Models
a year ago by Frederic Bertrand
Stability-Selection via Correlated Resampling for 'GAMLSS' Models
7 months ago by Frederic Bertrand
'SelectBoost'-Style Variable Selection for Quantile Regression
a year ago by Frederic Bertrand
Sobol Indices for Models with Fixed and Stochastic Parameters
6 months ago by Frederic Bertrand
Backend-Neutral Explainable Geometry State and Operators
7 months ago by Frederic Bertrand
Approximate k-Nearest Neighbour Search for 'bigmemory' Matrices with Annoy
7 months ago by Frederic Bertrand
Exact Search and Graph Construction for 'bigmemory' Matrices
7 months ago by Frederic Bertrand
Principal Component Analysis for 'bigmemory' Matrices
a month ago by Frederic Bertrand
Partial Least Squares Regression Models with Big Matrices
a year ago by Frederic Bertrand
Partial Least Squares for Cox Models with Big Matrices
2 months ago by Frederic Bertrand
'BLAS' and 'LAPACK' Routines for Native R Matrices and 'big.matrix' Objects
5 months ago by Frederic Bertrand
Bootstrap Hyperparameter Selection for PLS Models and Extensions
7 months ago by Frederic Bertrand
Extended Inference for Lasso and Elastic-Net Regularized Cox and Generalized Linear Models
5 months ago by Frederic Bertrand
Electricity Load Curves Forecasting at Individual Level
6 months ago by Frederic Bertrand
Methods and Reproducible Workflows for Partial Least Squares with Missing Data
a year ago by Frederic Bertrand
Network Reverse Engineering with Approximate Bayesian Computation
7 months ago by Frederic Bertrand
Partial Least Squares Regression for Beta Regression Models
7 months ago by Frederic Bertrand
Partial Least Squares Regression for Cox Models and Related Techniques
4 months ago by Frederic Bertrand
Partial Least Squares Regression for Generalized Linear Models
7 months ago by Frederic Bertrand
Partial Least Squares (PLS) Data Analysis Methods
7 months ago by Frederic Bertrand
Degrees of Freedom and Statistical Inference for Partial Least Squares Regression
a year ago by Frederic Bertrand
Object Oriented Solution for Robust Factor Analysis
a year ago by Frederic Bertrand
Applied Statistics for Economics and Management with R
a year ago by Frederic Bertrand
Estimators of Prediction Accuracy for Time-to-Event Data
a year ago by Frederic Bertrand
Turn Vectors and Lists of Vectors into Indexed Structures