LabCompass

Richard C. Bradley

Mathematics · Indiana University

OpenAlex ORCID
Stochastic processes and statistical mechanicsProbability and Risk ModelsMathematical Dynamics and FractalsBayesian Methods and Mixture ModelsMarkov Chains and Monte Carlo Methods

Publications

129

Citations

4,526

Est. group size

—

Recurring co-author estimate

Active years

55

Publishing since 1971

Research summary
AI-generated

Richard C. Bradley works in probability theory, focusing on the mathematical behavior of random sequences that evolve over time, particularly strictly stationary and reversible Markov chains (models where each step depends only on the current state). Much of his research examines conditions under which such sequences follow central limit theorems and various 'mixing' properties that describe how quickly dependence between distant observations fades.

Stationary and reversible Markov chainsCentral limit theoremsMixing conditions and ratesStochastic processesTime series probability models

Publication activity has been intermittent over the last decade, with a few active years (notably 2019 and 2021) and several years without recorded publications, averaging under one paper per year recently.

Generated by claude-opus-4-8 from public bibliographic data · Jul 11, 2026

Publication cadence
Publications per year over the last 10 years — averaging 0.8/year recently
17182019: 3 publications19202021: 4 publications4212022: 1 publication22232024: 2 publications242025: 1 publication2526
Recent publications
Publishes in
  • arXiv (Cornell University)×5
  • Journal of Time Series Analysis×2
  • Rocky Mountain Journal of Mathematics×1
  • Journal of Mathematical Sciences×1
  • APS March Meeting Abstracts×1

This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.

Last updated Jul 11, 2026.

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