T
Thomas S. Ferguson
Researcher at University of California, Los Angeles
Publications - 33
Citations - 1866
Thomas S. Ferguson is an academic researcher from University of California, Los Angeles. The author has contributed to research in topics: Partially ordered set & Score test. The author has an hindex of 12, co-authored 30 publications receiving 1734 citations.
Papers
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Book
A Course in Large Sample Theory
TL;DR: Basic probability, large sample theory, and efficient Estimation and Testing: a meta-thesis on large sample estimation and testing.
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A Representation of Independent Increment Processes without Gaussian Components
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An Inconsistent Maximum Likelihood Estimate
TL;DR: In this article, a family of distributions on [1, 1] with a continuous one-dimensional parameterization that joins the triangular distribution (when Θ = 0) to the uniform distribution, for which the maximum likelihood estimates exist and converge strongly to Θ ≥ 1 as the sample size tends to infinity, whatever be the true value of the parameter.
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Kendall's tau for serial dependence
TL;DR: In this paper, the authors show how Kendall's tau can be adapted to test against serial dependence in a univariate time series context and provide formulas for the mean and variance of circular and noncircular versions of this statistic, and prove its asymptotic normality under the hypothesis of independence.
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Sequential classification on partially ordered sets
TL;DR: In this article, a general theorem on the asymptotically optimal sequential selection of experiments is presented and applied to a Bayesian classification problem when the parameter space is a finite partially ordered set.