World's Best Scientists 2026 revealed!

D-Index & Metrics

Mathematics

D-Index
66
Citations
17802
World Ranking
359
National Ranking
195

Research.com Recognitions

  • 1986 - Fellow of the American Statistical Association (ASA)
  • 1983 - COPSS Presidents' Award
  • 1983 - Fellow of John Simon Guggenheim Memorial Foundation

Overview

Tze Leung Lai was affiliated with Stanford University in the United States. Their research spanned several areas primarily within computer science, with significant contributions to artificial intelligence, statistics and probability, computational theory and mathematics, economics and econometrics, and management science and operations research.

The scientist's work covered diverse topics including:

  • Metaheuristic Optimization Algorithms Research
  • Advanced Multi-Objective Optimization Algorithms
  • Health Systems, Economic Evaluations, Quality of Life
  • Advanced Optimization Algorithms Research
  • Statistical Methods in Clinical Trials
  • Gaussian Processes and Bayesian Inference
  • Advanced Bandit Algorithms Research

Several frequent co-authors collaborated with Lai, with multiple joint publications including:

  • Kwok Pui Choi (4 publications)
  • Weng Kee Wong (3 publications)
  • Huanzhong Xu (3 publications)
  • Xin T. Tong (2 publications)
  • Michael Sklar (2 publications)

Lai published frequently in notable venues such as:

  • Statistics in Biosciences (2 publications)
  • Statistica Sinica (2 publications)
  • arXiv (Cornell University) (2 publications)
  • International Review of Financial Analysis (1 publication)
  • Research in the Mathematical Sciences (1 publication)

Their recent published papers included:

  • "Beyond the blockchain announcement: Signaling credibility and market reaction," published in 2022 in International Review of Financial Analysis
  • "Stability bounds and almost sure convergence of improved particle swarm optimization methods," published in 2021 in Research in the Mathematical Sciences
  • "Statistical models and stochastic optimization in financial technology and investment science," published in 2020 in Annals of Mathematical Sciences and Applications
  • "Hybrid Controlled Clinical Trials Using Concurrent Registries in Amyotrophic Lateral Sclerosis: A Feasibility Study," published in 2023 in Clinical Pharmacology & Therapeutics
  • "Stochastic Approximation: From Statistical Origin to Big-Data, Multidisciplinary Applications," published in 2021 in Statistical Science

The scientist received several awards during their career, including the COPSS Presidents' Award in 1983, fellowship at the John Simon Guggenheim Memorial Foundation also in 1983, and was named Fellow of the American Statistical Association in 1986.

Best Publications

  • Asymptotically efficient adaptive allocation rules

    T.L Lai;Herbert Robbins

  • Least Squares Estimates in Stochastic Regression Models with Applications to Identification and Control of Dynamic Systems

    Tze Leung Lai;Ching Zong Wei

  • Sequential changepoint detection in quality control and dynamical systems

    Tze Leung Lai

  • Information bounds and quick detection of parameter changes in stochastic systems

    Tze Leung Lai

  • SEQUENTIAL ANALYSIS: SOME CLASSICAL PROBLEMS AND NEW CHALLENGES

    Tze Leung Lai

  • Self-Normalized Processes: Limit Theory and Statistical Applications

    Víctor De la Peña;Tze Leung Lai;Qi-Man Shao

  • Adaptive treatment allocation and the multi-armed bandit problem

    Tze Leung Lai

  • Strong consistency of least squares estimates in multiple regression II

    T.L Lai;Herbert Robbins;C.Z Wei

  • Large Sample Theory of a Modified Buckley-James Estimator for Regression Analysis with Censored Data

    Tze Leung Lai;Zhiliang Ying

  • Statistical Models and Methods for Financial Markets

    Tze Leung Lai;Haipeng Xing

  • A Nonlinear Renewal Theory with Applications to Sequential Analysis II

    Unknown

  • Estimating a distribution function with truncated and censored data

    Tze Leung Lai;Zhiliang Ying

  • Rank Regression Methods for Left-Truncated and Right-Censored Data

    Tze Leung Lai;Zhiliang Ying

  • Asymptotic properties of general autoregressive models and strong consistency of least-squares estimates of their parameters

    T.L Lai;T.L Lai;C.Z Wei;C.Z Wei

  • Adaptive Design and Stochastic Approximation

    T. L. Lai;Herbert Robbins

  • Strong consistency of least squares estimates in multiple regression

    T. L. Lai;Herbert Robbins;C. Z. Wei

  • Nearly Optimal Sequential Tests of Composite Hypotheses

    Tze Leung Lai

  • Fixed Accuracy Estimation of an Autoregressive Parameter

    T. L. Lai;D. Siegmund

  • Sequential multiple hypothesis testing and efficient fault detection-isolation in stochastic systems

    Tze Leung Lai

  • Efficient recursive algorithms for detection of abrupt changes in signals and control systems

    Tze Leung Lai;J.Z. Shan

  • Sequential medical trials.

    T. L. Lai;Bruce Levin;Herbert Robbins;David Siegmund

Frequent Co-Authors

Qi-Man Shao
Qi-Man Shao Chinese University of Hong Kong
Herbert Robbins
Herbert Robbins Rutgers, The State University of New Jersey
Zhiliang Ying
Zhiliang Ying Columbia University
Gabriel G. Haddad
Gabriel G. Haddad University of California, San Diego
Philip W. Lavori
Philip W. Lavori Stanford University
Daniel A. Bloch
Daniel A. Bloch Stanford University
David Siegmund
David Siegmund Stanford University
Joseph P. Broderick
Joseph P. Broderick University of Cincinnati
Dimitris N. Politis
Dimitris N. Politis University of California, San Diego
Gregory W. Albers
Gregory W. Albers Stanford University

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

For students interested in Mathematics, exploring interdisciplinary online degrees can broaden career prospects and deepen expertise. For those considering finance roles, pursuing the cheapest masters in finance offers an affordable pathway to combining mathematical skills with financial analysis, often leading to lucrative positions in banking, investment, or risk management.

Similarly, professionals aiming for leadership roles may benefit from accelerated business education options. Programs like accelerated online MBA programs and 1 year MBA programs provide rigorous, time-efficient ways to gain management expertise, complementing quantitative skills with strategic decision-making abilities.

Marketing is another dynamic sector where mathematical analytics and data-driven strategies are key. Earning a master's degree in marketing online allows students to develop valuable skills in customer insights and digital marketing, which integrates well with a background in mathematics for market analysis and consumer behavior prediction.

Overall, combining mathematics knowledge with these related online degrees can accelerate career growth in diverse industries, providing both flexibility and specialized expertise.

Best Scientists Citing Tze Leung Lai