Results 201 to 210 of about 6,012,202 (297)

Sparse maximum likelihood estimation of regression models

Canadian Journal of Statistics, EarlyView.
Abstract For regression model selection and estimation, we study a small set of candidate models of maximum likelihood from which all information criteria such as the Akaike information criterion (AIC) and the Bayesian information criterion (BIC) choose their models.
Min Tsao
wiley   +1 more source

From "More Is Different" to Algorithmic Emergence: Regularity, Compression, and the Limits of Discovery. [PDF]

Entropy (Basel)
Ruffini G, Castaldo F.
europepmc   +1 more source

Order restricted row‐column cluster randomized design

Canadian Journal of Statistics, EarlyView.
Abstract This research introduces a novel two‐stage cluster randomized design, the order restricted row‐column cluster randomized design. The new design builds upon the cluster randomized block design by incorporating a second layer of blocking, achieved through ranking cluster units that are randomly sampled from the population.
Dalton Hopper, Omer Ozturk, Olena Kravchuk   +2 more
wiley   +1 more source

Information-Theoretic Limits and One-Bit Estimation of Sparse Relation Matrices Under Personalized Local Differential Privacy and Byzantine Contamination. [PDF]

Entropy (Basel)
Ouyang J, Liu J.
europepmc   +1 more source

Mitigating measurement error in misspecified small area models

Canadian Journal of Statistics, EarlyView.
Abstract In the framework of Small area estimation, we consider an area‐level model where a subset of covariates is measured with error. The extent of the error is assumed to be constant throughout the areas, and it is expressed by a scalar parameter γ$$ \gamma $$, which multiplies the deterministic covariance matrix of the estimator of the true ...
Diego Battagliese, Serena Arima, Brunero Liseo, Alessio Pollice   +3 more
wiley   +1 more source

New low-genus desingularizations of three Clifford tori and related characterizations. [PDF]

Geom Dedic
Kapouleas N, Wiygul D.
europepmc   +1 more source

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

Globalization of Perturbative Chern-Simons Theory on the Moduli Space of Flat Connections in the BV Formalism. [PDF]

Commun Math Phys
Mnev P, Wernli K.
europepmc   +1 more source

Z‐residuals diagnostics for Cox models: Functional‐form misspecification versus nonproportional hazards

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

Impulsive Release Strategies for Wolbachia-Infected Mosquitoes Under Temperature-Induced Infection Loss. [PDF]

Bull Math Biol
Alves JCS, Schaerer CE, Ferreira CP.
europepmc   +1 more source