# David Pollard

## Courses

### STAT 312a / STAT 612a Linear Models

The geometry of least squares; distribution theory for normal errors; regression, analysis of variance, and designed experiments; numerical algorithms, with particular reference to the R statistical language.

After STAT 242 and MATH 222 or 225.

No final exam.

### STAT 330b / STAT 600b / MATH 330b Advanced Probability

Measure theoretic probability, conditioning, laws of large numbers, convergence in distribution, characteristic functions, central limit theorems, martingales. Some knowledge of real analysis is assumed.

### STAT 618b Asymptotics

A careful study of some standard asymptotic techniques in statistics and econometrics, and their modern refinements.Topics selected from classical likelihood theory and M-estimation; empirical process methods; concentration inequalities;semiparametric models; local asymptotic normality; concepts of efficiency. Students will be expected to read research papers and make presentations in class. Prerequisites: knowledge of probability at the level of STAT 600b.

### STAT 699ab Research Seminar in Probability

Continuation of the Yale Probability Group Seminar. Student and faculty explanations of current research in areas such as random graph theory, spectral graph theory, Markov chains on graphs, and the objective method.

Credit only with the explicit permission of the seminar organizers.

### STAT 699ab Research Seminar in Probability

Continuation of the Yale Probability Group Seminar. Student and faculty explanations of current research in areas such as random graph theory, spectral graph theory, Markov chains on graphs, and the objective method.

Credit only with the explicit permission of the seminar organizers.