Journal & Article

SSCI Journal

I/F
# Journal I/F

Annual Review of Statistics and Its Application

Statistical Modeling of the Ocean Environment. Statistical Aspects of Racial and Ethnic Health Disparities. Disasters, Statistics, and the Humanitarian Sector. Statistics for Animal Tracking Data. Theory of Random Forests. Operator Learning: A Statistical Perspective. Statistical Learning for Functional Data. The Why and How of Convex Clustering. Deep Spatiotemporal Point Processes: Advances and New Directions. Model-Based Spatial Data Fusion. Optimal Designs for Correlated Data. Proper Scoring Rules for Estimation and Forecast Evaluation. Recent Advances in Conditional Extreme Quantile Analysis. Regression Models with Interval-Censored Variables. Integrative Analysis of Multimodal Omics Data. Analysis of Tensor Time Series. Structure Assessment in Count Time Series. Change-Point Detection and Its Modern Applications. The Natural Value of Treatment and Its Importance for Causal Inference. The Enemies of Reliable and Useful Clinical Prediction Models: A Review of Statistical and Scientific Challenges. Statistical Methods in Aging Research: Improving Current Practices and Embracing Emerging Approaches. 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.