7 citations · 8 across the 3 of their papers we have counts for
3 papers
stat.ME2019
Assessing the global and local uncertainty in scientific evidence in the presence of model misspecification
Mark L. Taper, Subhash R Lele, José-Miguel Ponciano +2
Scientists need to compare the support for models based on observed phenomena. The main goal of the evidential paradigm is to quantify the strength of evidence in the data for a re…
q-bio.QM2015★ 7 cited
Is non-informative Bayesian analysis appropriate for wildlife management: survival of San Joaquin Kit Fox and declines in amphibian populations
Subhash R. Lele
Computational convenience has led to widespread use of Bayesian inference with vague or flat priors to analyze state-space models in ecology. Vague priors are claimed to be objecti…
stat.ME2013★ 1 cited
An ANOVA Test for Parameter Estimability using Data Cloning with Application to Statistical Inference for Dynamic Systems
David Campbell, Subhash Lele
Models for complex systems are often built with more parameters than can be uniquely identified by available data. Because of the variety of causes, identifying a lack of parameter…