Results 81 to 90 of about 213,072 (298)
Learning sparse mixture‐of‐experts generalized linear models in ultrahigh dimensions
Canadian Journal of Statistics, EarlyView.Abstract Motivated by the challenges of heterogeneity and high dimensionality in the analysis of modern data, we investigate continuous regularization methods for learning sparse mixture‐of‐experts generalized linear models (MoE‐GLM). Although there are foundational results about regularized estimators in a broad class of regression models including ...
Pengqi Liu, Abbas Khalili
wiley +1 more source
Model selection for causal inference in missing exposure problems
Canadian Journal of Statistics, EarlyView.Abstract In causal inference, properly selecting the propensity score (PS) model is an important topic and has been widely investigated in observational studies. However, there are very few studies investigating the model selection issue for causal inference when the exposure is missing at random (MAR). When the exposure variable contains missing data,
Yuliang Shi, Yeying Zhu, Joel A. Dubin
wiley +1 more source
Iterating Alone over a Method and Tool to Facilitate Equitable Assessment of Group Work
International Journal of Designs for Learning, 2014 As an instructor employing group projects, my students and I have been frustrated by my inability to allocate credit for individuals’ contributions to a group’s projects.
Micah Gideon Modell
doaj
Protein Structure Modeling with MODELLER
, 2014 Genome sequencing projects have resulted in a rapid increase in the number of known protein sequences. In contrast, only about one-hundredth of these sequences have been characterized at atomic resolution using experimental structure determination methods.
Webb, Benjamin, Sali, Andrej
openaire +6 more sources
extBatchMarking: An R package for hidden Markov models for extended batch data
Canadian Journal of Statistics, EarlyView.Abstract We describe a new R package for extended batch‐mark methods. Extended batch marking is a valuable and efficient technique for estimating population sizes and survival probabilities of wild animals. It assigns the same identifier to a group of animals simultaneously, allowing researchers to track their survival over time.
Kehinde Olobatuyi +4 more
wiley +1 more source
A Note on Model Complete Models and Generic Models [PDF]
Proceedings of the American Mathematical Society, 1972 We prove that there are many maximum model complete (= generic) models, and that there exists an (uncountable) theory with no generic models.
openaire +2 more sources
Joint copula‐based beta regression with covariate‐dependent dispersion for malaria indicators
Canadian Journal of Statistics, EarlyView.Abstract Malaria surveillance relies on multiple indicators that reflect different aspects of transmission and disease burden, yet these outcomes are often analyzed separately under constant‐variance assumptions. Such approaches may obscure residual dependence and heterogeneity in variability. Using Demographic and Health Survey data from Burkina Faso (
Guanjie Lyu, Cindy Feng
wiley +1 more source
Canadian Journal of Statistics, EarlyView.Abstract Primary biliary cholangitis (PBC) is a progressive autoimmune cholestatic disease for which modelling death, with transplantation as a competing event, is clinically important. Cox proportional hazards (PH) models are widely used, but standard diagnostics detect lack of fit without distinguishing non‐PH from misspecified covariate functions ...
Tingxuan Wu, Cindy Feng, Longhai Li
wiley +1 more source
Különleges BánásmódAbsztrakt A tanulmány az iskolapszichológiai szervezeti modellek szervezeti hely szempontjából történő bemu-tatása után a kőbányai iskolapszichológiai modell néhány aspektusának elemzi. A cikk empirikus anyaga kvalitatív interjú elemzésekből áll.
Katalin Borbáth
doaj +1 more source