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2008-2009 Bulletin – PDF - SEAS Bulletin - Columbia University

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202<br />

STAT W4335x Sample surveys<br />

3 pts. Instructor to be announced.<br />

Introductory course on the design and analysis of<br />

sample surveys. How sample surveys are conducted,<br />

why the designs are used, how to analyze<br />

survey results, and how to derive from first<br />

principles the standard results and their generalizations.<br />

Discussions include detail surveys from<br />

areas including public health, social work, opinion<br />

polling, and other topics of interest. General<br />

Education Requirement: Quantitative and<br />

Deductive Reasoning (QUA).<br />

STAT W4413x Nonparametric statistics<br />

3 pts. Instructor to be announced.<br />

Prerequisite: STAT W4107. Statistical inference<br />

without parametric model assumption. Hypothesis<br />

testing using ranks, permutations, and order<br />

statistics. Nonparametric analogs of analysis of<br />

variance. Tolerance limits. Robust estimation.<br />

Introduction to sequential statistical procedures.<br />

Applications to quality control and clinical trials.<br />

STAT W4437x and y Time series analysis<br />

3 pts. Instructor to be announced.<br />

Prerequisite: STAT W4315 or the equivalent.<br />

Least-squares smoothing and prediction, linear<br />

systems, Fourier analysis and spectral estimation.<br />

Impulse response and transfer function. Fourier<br />

series, the fast Fourier transform algorithm, autocorrelation<br />

function, and spectral density.<br />

Univariate Box-Jenkins modeling and forecasting.<br />

Emphasis on practical applications in examples<br />

from the physical sciences, social sciences, and<br />

business. Computing is an integral part of the lectures.<br />

STAT W4543y Survival analysis<br />

3 pts. Instructor to be announced.<br />

Prerequisite: STAT W3659/W4107 or the equivalent.<br />

Survival distributions, types of censored<br />

data, estimation for various survival models, nonparametric<br />

estimation of survival distributions,<br />

the proportional hazard and accelerated lifetime<br />

models for covariate data, regression analysis<br />

with lifetime data. Extensive use of the computer<br />

to analyze data. Applications in clinical trials and<br />

acturial science.<br />

STAT W4606x and y Elementary stochastic<br />

processes<br />

3 pts. M. Brown and instructor to be announced.<br />

Prerequisite: STAT W4105 or the equivalent.<br />

Review of elements of probability theory. Poisson<br />

processes. Exponential distribution. Renewal<br />

theory. Wald’s equation. Introduction to discrete<br />

time Markov chains and applications to queueing<br />

theory, inventory models, branching processes.<br />

STAT W4840x Theory of interest<br />

3 pts. N. Rajah.<br />

No prerequisite. Introduction to the mathematical<br />

theory of interest as well as the elements of economic<br />

and financial theory of interest. Topics<br />

include rates of interest and discount; simple,<br />

compound, real, nominal, effective, dollar (time)-<br />

weighted; present, current, future value; discount<br />

function; annuities; stocks and other financial<br />

instruments; definitions of key terms of modern<br />

financial analysis; yield curves; spot (forward)<br />

rates; duration; immunization; and short sales.<br />

The course will cover determining equivalent<br />

measures of interest, discounting, accumulating,<br />

determining yield rates, and amortization.<br />

STAT W6501x Stochastic processes and<br />

application, I<br />

3 pts. J. Vecer.<br />

Prerequisite: STAT W4105 or the equivalent.<br />

Discrete and continuous-time Markov chains; elements<br />

of renewal theory; Martingales and their<br />

basic properties. Brownian motion: construction,<br />

basic properties, sample paths. Stochastic integration,<br />

Ito’s rule, applications. Introduction to stochastic<br />

differential equations and diffusion<br />

processes.<br />

<strong>SEAS</strong> <strong>2008</strong>–<strong>2009</strong>

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