Statistics – Applications
Scientist
Statistics
Applications
Scientist
A sequential Monte Carlo approach to computing tail probabilities in stochastic models
Approximate Dynamic Programming and Its Applications to the Design of Phase I Cancer Trials
Bias correction and confidence intervals following sequential tests
Combining domain knowledge and statistical models in time series analysis
Efficient adaptive designs with mid-course sample size adjustment in clinical trials
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