Results 191 to 200 of about 229,746 (260)

Large parameter asymptotic analysis for homogeneous normalized random measures with independent increments

open access: yesCanadian Journal of Statistics, EarlyView.
Abstract Homogeneous normalized random measures with independent increments represent a broad class of Bayesian nonparametric priors and thus are widely used. In this article, we obtain the strong law of large numbers, the central limit theorem (CLT), and the functional central limit theorem (fCLT) of such measures when the concentration parameter a ...
Junxi Zhang, Shui Feng, Yaozhong Hu
wiley   +1 more source

Learning sparse mixture‐of‐experts generalized linear models in ultrahigh dimensions

open access: yesCanadian 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

open access: yesCanadian 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

Joint copula‐based beta regression with covariate‐dependent dispersion for malaria indicators

open access: yesCanadian 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

What Makes a Good Theory? Interdisciplinary Perspectives. [PDF]

open access: yesComput Brain Behav
van Rooij I   +4 more
europepmc   +1 more source

Balancing Impartiality and Advocacy: Observations, Lessons, and Suggestions From a Practicing Ombuds

open access: yesConflict Resolution Quarterly, EarlyView.
ABSTRACT Universities increasingly rely on ombuds offices as informal, impartial mechanisms for addressing conflict and strengthening institutional trust. Yet the ombuds role is frequently shaped by tension among impartiality, advocacy, and legal accountability. This paper examines the evolution of the Office of the Ombuds at the University of Maryland,
Brian Godette, Roger Ward, Leandra Cate
wiley   +1 more source

Beyond the Human Negotiator: Generative AI and the Threshold of Autonomous Decision‐Making

open access: yesConflict Resolution Quarterly, EarlyView.
ABSTRACT This article provides a comprehensive framework for understanding the role of artificial intelligence (AI) in negotiation, evaluating contemporary systems through the specific case study of Large Language Models (LLMs). To address the lack of established terminology, it first proposes a new typology distinguishing Negotiation Supported by AI ...
Martin Svatos
wiley   +1 more source

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