21 citations · 29 across the 9 of their papers we have counts for
9 papers
Penalty parameter selection and asymmetry corrections to Laplace approximations in Bayesian P-splines models
Philippe Lambert, Oswaldo Gressani
Laplacian-P-splines (LPS) associate the P-splines smoother and the Laplace approximation in a unifying framework for fast and flexible inference under the Bayesian paradigm. Gaussi…
Moment-based density and risk estimation from grouped summary statistics
Philippe Lambert
Data on a continuous variable are often summarized by means of histograms or displayed in tabular format: the range of data is partitioned into consecutive interval classes and the…
Fast Bayesian Inference in Nonparametric Double Additive Location-Scale Models With Right- and Interval-Censored Data
Philippe Lambert
Penalized B-splines are routinely used in additive models to describe smooth changes in a response with quantitative covariates. It is typically done through the conditional mean i…
Laplace approximation for fast Bayesian inference in generalized additive models based on penalized regression splines
Oswaldo Gressani, Philippe Lambert
Generalized additive models (GAMs) are a well-established statistical tool for modeling complex nonlinear relationships between covariates and a response assumed to have a conditio…
Inflated Discrete Beta Regression Models for Likert and Discrete Rating Scale Outcomes
Cedric Taverne, Philippe Lambert
Discrete ordinal responses such as Likert scales are regularly proposed in questionnaires and used as dependent variable in modeling. The response distribution for such scales is a…
Estimation and approximation in nonlinear dynamic systems using quasilinearization
Gianluca Frasso, Jonathan Jaeger, Philippe Lambert
Nonlinear (systems of) ordinary differential equations (ODEs) are common tools in the analysis of complex one-dimensional dynamic systems. In this paper we propose a smoothing appr…