What is he best known for?
The fields of study he is best known for:
- Statistics
- Normal distribution
- Random variable
His primary areas of study are Mathematical optimization, Applied mathematics, Statistics, Least squares and Estimator.
Tze Leung Lai interconnects Exponential family and Information theory in the investigation of issues within Mathematical optimization.
His Applied mathematics research includes elements of Stochastic approximation, Mathematical analysis, Asymptotic analysis and Autoregressive model.
His Least squares study combines topics from a wide range of disciplines, such as Robust regression, Strong consistency and Local regression.
His Strong consistency research integrates issues from Econometrics and Non-linear least squares.
His Estimator research includes themes of Martingale, Nonparametric statistics and Stochastic integral.
His most cited work include:
- Asymptotically efficient adaptive allocation rules (1620 citations)
- Least Squares Estimates in Stochastic Regression Models with Applications to Identification and Control of Dynamic Systems (520 citations)
- Sequential changepoint detection in quality control and dynamical systems (434 citations)
What are the main themes of his work throughout his whole career to date?
His scientific interests lie mostly in Statistics, Mathematical optimization, Econometrics, Applied mathematics and Clinical trial.
His study in Sample size determination, Regression analysis, Confidence interval, Nonparametric statistics and Local regression falls under the purview of Statistics.
His work carried out in the field of Mathematical optimization brings together such families of science as Exponential family and Adaptive control.
The Econometrics study combines topics in areas such as Empirical research and Series.
His work in Applied mathematics addresses issues such as Random variable, which are connected to fields such as Iterated logarithm.
His studies examine the connections between Clinical trial and genetics, as well as such issues in Sequential analysis, with regards to Sequential probability ratio test.
He most often published in these fields:
- Statistics (20.96%)
- Mathematical optimization (19.76%)
- Econometrics (15.57%)
What were the highlights of his more recent work (between 2011-2021)?
- Clinical trial (9.88%)
- Econometrics (15.57%)
- Statistics (20.96%)
In recent papers he was focusing on the following fields of study:
His main research concerns Clinical trial, Econometrics, Statistics, Mathematical optimization and Adaptive design.
His Clinical trial research is multidisciplinary, incorporating elements of Sequential analysis, Medical physics and Intensive care medicine.
His studies in Sequential analysis integrate themes in fields like Sequential probability ratio test, Stochastic optimization, Survival analysis and Confidence interval.
Tze Leung Lai has included themes like Regression analysis, Series, Bayes' theorem and Frequentist inference in his Econometrics study.
His work in Sample size determination, Regression and Group sequential is related to Statistics.
Tze Leung Lai combines subjects such as Applied mathematics, Stochastic approximation and Hidden Markov model with his study of Mathematical optimization.
Between 2011 and 2021, his most popular works were:
- A general theory of particle filters in hidden Markov models and some applications (40 citations)
- Clinical trial designs for testing biomarker-based personalized therapies (32 citations)
- Sequential Experimentation in Clinical Trials (28 citations)
In his most recent research, the most cited papers focused on:
- Statistics
- Normal distribution
- Machine learning
Tze Leung Lai focuses on Clinical trial, Econometrics, Research design, Intensive care medicine and Adaptive design.
Tze Leung Lai has included themes like Data mining and Comparative effectiveness research in his Clinical trial study.
His research in Data mining intersects with topics in Regression analysis and Lasso.
His Econometrics research integrates issues from Estimator, Portfolio optimization and Frequentist inference.
His work carried out in the field of Sample size determination brings together such families of science as Optimal stopping, Mathematical optimization, Interim analysis and Asymptotic theory.
His Statistics study frequently intersects with other fields, such as Artificial intelligence.
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