Analyzing the precision of discrete kernel regression by Bayesian modeling

Authors

Institutions

Publication Details

Journal
Communications in Statistics Case Studies Data Analysis and Applications
Published
2025-08-09
DOI
https://doi.org/10.1080/23737484.2025.2541241
Primary Topic
Genetic and phenotypic traits in livestock
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Analyzing the precision of discrete kernel regression by Bayesian modeling

Tristan Senga Kiessé, Christophe Jaeger, Étienne Rivot
Communications in Statistics Case Studies Data Analysis and Applications
Genetic and phenotypic traits in livestock
article

Analyzing the precision of discrete kernel regression by Bayesian modeling

Tristan Senga Kiessé, Christophe Jaeger, Étienne Rivot
article en

Abstract

No abstract available for this paper.
Communications in Statistics Case Studies Data Analysis and ApplicationsVol. 11(4)
Institut National de la Recherche Agronomique (MA), Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement (FR), Sol Agro et hydrosystème Spatialisation (FR), Ecology and Ecosystem Health (FR), Institute for Sustainability (GB), L'Institut Agro (FR)
Life below water
Openalex Percentile: Top 77%
Genetic and phenotypic traits in livestock
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Analyzing the precision of discrete kernel regression by Bayesian modeling — Tristan Senga Kiessé, Christophe Jaeger, et al. · Communications in Statistics Case Studies Data Analysis and Applications (2025) | TGRS Research Map | TGRS