Longitudinal data analysis is an essential statistical approach for studying phenomena observed repeatedly over time, allowing researchers to explore both within-subject and between-subject variations ...
Research on income risk typically treats its proxy—income volatility, the expected magnitude of income changes—as if it were unchanged for an individual over time, the same for everyone at a point in ...
Political Analysis, Vol. 15, No. 2, Special Issue: Time-Series Cross-Sectional Analysis (Spring 2007), pp. 165-181 (17 pages) The analysis of time-series cross-sectional (TSCS) data has become ...
Stochastic dynamical systems arise in many scientific fields, such as asset prices in financial markets, neural activity in ...
Thomas Stopka is an associate professor and epidemiologist with the Department of Public Health and Community Medicine at the Tufts University School of Medicine. In his NIH-funded interdisciplinary ...
We adapt a semi-Bayesian hierarchical modeling framework to jointly characterize the space–time variability of seasonal precipitation totals and precipitation extremes across the Northern Great Plains ...
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