David Siegmund

Publication List Details

Period

1998 - 2006

Number

23

Co-Authors

Change-Point Detection and Adaptive Control of Time-Varying Systems (2006)

Siegmund, David

Fundamental progress was made in the sequential and fixed sample detection and estimation of abrupt changes in stochastic systems and in the related problem of adaptive control of dynamical systems...

An Urn Model of Diaconis (2004)

Siegmund, David, Yakir, Benjamin

An urn model of Diaconis and some generalizations are discussed. A convergence theorem is proved that implies for Diaconis' model that the empirical distribution of balls in the urn converges with...

Herbert Robbins and sequential analysis: invited paper (2003)

Siegmund, David

This paper reviews Herbert Robbins' research in sequential analysis (excluding stochastic approximation) from 1952 until roughly 1980. Its relation to the research of his contemporaries and its...

Sequential Medical Trials (Stopping Rules/Asymptotic Optimality). (2002)

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

A model for sequential clinical trials is discussed. Three proposed stopping rules are studied by Monte Carlo for small patient horizons and mathematically for large patient horizons. They are shown...

Conditional Boundary Crossing Probabilities with Applications to Change-Point Problems. (2002)

James,Barry, James,Kang L., Siegmund,David

For normal random walks S sub 1, S sub 2, ..., formed from independent, identically distributed random variables X sub 1, X sub 2, ..., we determine the asymptotic behavior under regularity...

Approximations to the Average Run Lengths of CUSUM Tests. (2002)

Pollak,Moshe, Siegmund,David

Simple approximations are given for the average run lengths of CUSUM tests: both with and without the fast initial response feature, and starting from a quasi-stationary state. Numerical examples...

Approximate $p$-values for local sequence alignments (2000)

Siegmund, David, Yakir, Benjamin

Assume that two sequences from a finite alphabet are optimally aligned according to a scoring system that rewards similarities according to a general scoring scheme and penalizes gaps (insertions and...

Tail probabilities for the null distribution of scanning statistics (2000)

Siegmund, David, Yakir, Benjamin

This paper is concerned with statistics that scan a multidimensional spatial region to detect a signal against a noisy background. The background is modelled as independent observations from an...

The maximum of a function of a Markov chain and application to linkage analysis (1999)

Tu, I-Ping, Siegmund, David

One method of linkage analysis in humans is based on identity-by-descent of pairs of relatives who share a phenotype of interest (for example, a particular disease). We replace the convenient...

On the Maximum Likelihood Estimate of Cell Probabilities. (1998)

Olshen,Richard, Siegmund,David

The paper contains a study of the law of the iterated logarithm for differences between empirical frequencies and true cell probabilities when there are a countable number of cells. It is shown that...

Sequential Analysis and Probability Theory. (1998)

Siegmund, David

Most of the research performed under this contract can be described under four broad, related categories: (1) Nonlinear renewal theory and its applications to sequential analysis; (2) corrected...

On Hotelling's Formula for the Volume of Tubes and Naiman's Inequality. (1998)

Johnstone, Iain, Siegmund, David

Motivation by the question of testing for a nonlinear parameter in a regression model with independent, homoscedastic normal residuals, Hotelling (1939) was led to consider the geometric problem of...

On Hotelling's Approach to Testing for a Nonlinear Parameter in Regression. (1998)

Knowles, Mark, Siegmund, David

The method suggested by Hotelling (1939) to test for a nonlinear parameter in a regression model is reviewed. Using the method of Weyl (1939), we derive a simple expression for the volume of a tube...

Topics in Stochastic Systems, Failure Time Models Change-Point Problems, and Sequential Analysis. (1998)

Siegmund, David

Fundamental progress was made in the sequential and fixed sample detection and estimation of abrupt changes in stochastic systems and in the related problem of adaptive control of dynamical systems...

Sequential medical trials

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

A model for sequential clinical trials is discussed. Three proposed stopping rules are studied by the Monte Carlo method for small patient horizons and mathematically for large patient horizons. They...

Sequential medical trials

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

A model for sequential clinical trials is discussed. Three proposed stopping rules are studied by the Monte Carlo method for small patient horizons and mathematically for large patient horizons. They...

Strong control, conservative point estimation and simultaneous conservative consistency of false discovery rates: a unified approach

John D. Storey, Jonathan E. Taylor, David Siegmund

The false discovery rate (FDR) is a multiple hypothesis testing quantity that describes the expected proportion of false positive results among all rejected null hypotheses. Benjamini and Hochberg...

Gene Expression Patterns and Gene Copy Number Changes in Dermatofibrosarcoma Protuberans

Linn, Sabine C., West, Rob B., Pollack, Jonathan R., Zhu, Shirley, Hernandez-Boussard, Tina, Nielsen, Torsten O., ...

Dermatofibrosarcoma protuberans (DFSP) is an aggressive spindle cell neoplasm. It is associated with the chromosomal translocation, t(17:22), which fuses the COL1A1 and PDGFβ genes. We determined...

Approximating the Variance of the Conditional Probability of the State of a Hidden Markov Model

David Siegmund, Benjamin Yakir

In a hidden Markov model, one "estimates" the state of the hidden Markov chain at t by computing via the forwards-backwards algorithm the conditional distribution of the state vector given the...

Model selection in irregular problems: Applications to mapping quantitative trait loci

David Siegmund

Two methods of model selection are discussed for changepoint-like problems, especially those arising in genetic linkage analysis. The first is a method that selects the model with the smallest...