Journal & Article

SSCI Journal

I/F
# Journal I/F

Annual Review of Statistics and Its Application

Designs for Vaccine Studies. Infectious Disease Modeling. Excess Mortality Estimation. Crafting 10 Years of Statistics Explanations: Points of Significance. Reproducibility in the Classroom. Statistical Data Integration for Health Policy Evidence-Building. Statistics in Phonetics. A Statistical Viewpoint on Differential Privacy: Hypothesis Testing, Representation, and Blackwell's Theorem. A Survey on Statistical Theory of Deep Learning: Approximation, Training Dynamics, and Generative Models. A Review of Reinforcement Learning in Financial Applications. Hawkes Models and Their Applications. Models and Rating Systems for Head-to-Head Competition. Measuring the Functioning Human Brain. Neural Methods for Amortized Inference. Causal Mediation Analysis for Integrating Exposure, Genomic, and Phenotype Data. High-Dimensional Gene–Environment Interaction Analysis. Identification and Inference with Invalid Instruments. Demystifying Inference After Adaptive Experiments. Empirical Likelihood in Functional Data Analysis. Joint Modeling of Longitudinal and Survival Data. A Theoretical Review of Modern Robust Statistics. Generalized Additive Models. Tensors in High-Dimensional Data Analysis: Methodological Opportunities and Theoretical Challenges. Communication of Statistics and Evidence in Times of Crisis. Role of Statistics in Detecting Misinformation: A Review of the State of the Art, Open Issues, and Future Research Directions. Stochastic Models of Rainfall. Maps: A Statistical View. Interpretable Machine Learning for Discovery: Statistical Challenges and Opportunities. Causal Inference in the Social Sciences. Variable Importance Without Impossible Data. Bayesian Inference for Misspecified Generative Models. The Role of the Bayes Factor in the Evaluation of Evidence. Competing Risks: Concepts, Methods, and Software. Making Sense of Censored Covariates: Statistical Methods for Studies of Huntington's Disease. An Update on Measurement Error Modeling. Relational Event Modeling. Distributional Regression for Data Analysis. Recent Advances in Text Analysis. Shape-Constrained Statistical Inference. Manifold Learning: What, How, and Why. Convergence Diagnostics for Entity Resolution. Geometric Methods for Cosmological Data on the Sphere. Geometric methods for cosmological data on the sphere. Inverse Problems for Physics-Based Process Models. Analysis of Microbiome Data. Statistical Brain Network Analysis. Distributed Computing and Inference for Big Data. Fifty Years of the Cox Model Fifty years of the Cox model. High-Dimensional Survival Analysis: Methods and Applications