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Generalized Linear Models.- Linear Models, Vector Spaces, and Residual Likelihood.- An Assessment of Approximate Maximum Likelihood Estimators in Generalized Linear Models.- Scaled Link Functions for Heterogeneous Ordinal Response Data.- Longitudinal Data Analysis.- Software Design for Longitudinal Data Analysis.- Asymptotic Properties of Nonlinear Mized-Effects Models.- Structured Antedependence Models for Longitudinal Data.- Effect of Confounding and Other Misspecification…

计量经济学、金融及其他领域中的时间序列模型AI 解读

Statistical Aspects of ARCH and Scholastic Volatility Likelihood-Based Inference for Cointegration of Some Non-Stationary Time Series Forecasting in Macroeconomics Longitudinal Panel Data: An Overview of Current Methodology

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不确定性的诸方面：献给 D. V. LindleyAI 解读

Dennis Lindley: The First 70 Years The Operational Bayesian Approach Pivotal Inference Illustrated on the Darwin Maize Data Bayes Theory in Latent Variable Modelling Bayesian Sampling Schemes for Auditors Optimal Prediction with Hierarchical Models: Bayesian Clustering Inference for a Covariance Matrix The Role of Statistical Theory in Decision Aiding The Signature as a Covariate in Reliability and Biometry Residual Analysis and Outliers in Hierarchical Models The Island…

时间序列分析进展：纪念莫里斯·普里斯特利AI 解读

List of Contributors. Foreword. Preface. Books and Papers by M. B. Priestley. About the Volume and Summary of Papers. Linear Time Series Models. Estimation and Asymptotics for Times Series Models. Spectral Analysis of Stationary Time Series. Nonparametric Statistical Inference in Time Series. Nonlinear and Non Gaussian Time Series Models. Index.