STAT 690 Literature and Research Studies0.50 units
- 1 Computational Methods-Finance
RDG · Course ID 010554Archived pageSTAT 690 today
26 graduate courses in the Spring 2009 Graduate Calendar, from Waterloo’s archived copy.
RDG · Course ID 010554Archived pageSTAT 690 today
Review of experimental designs in a regression setting; analysis of variance; replication, balance, blocking, randomization, and interaction; one-way layout, two-way layout, and Latin square as special cases; factorial structure of treatments; covariates; treatment contrasts; two-level fractional factorial designs; fixed versus random effects; split-plot and repeated-measures designs; other topics.
Antirequisite: STAT 430.
LEC · Course ID 010065Archived pageSTAT 830 today
Review of normal linear regression and maximum likelihood estimation. Computational methods, including Newton-Raphson and iteratively reweighted least squares. Binomial regression; the role of the link function. Goodness-of-fit, goodness-of-link, leverage. Poisson regression models. Generalized linear models. Other topics in regression modelling.
Antirequisite: STAT 431.
LEC · Course ID 003087Archived pageSTAT 831 today
Random walks, renewal theory and processes and their application, Markov chains, branching processes, statistical inference for Markov chains.
Antirequisite: STAT 433.
LEC · Course ID 003088Archived pageSTAT 833 today
Statistical methods for improving processes based on observational data. Assessment of measurement systems. Strategies for variation reduction. Process monitoring, control and adjustment. Clue generation techniques for determining the sources of variability. Variation transmission.
Antirequisite: STAT 435
LEC, TUT · Course ID 003089Archived pageSTAT 835 today
Introduction to and application of computational methods in statistical inference. Monte Carlo evaluation of statistical procedures, exploration of the likelihood function through graphical and optimization techniques including EM. Bootstrapping, Markov Chain Monte Carlo, and other computationally intensive methods.
Antirequisite: CM 461; STAT 440
LEC · Course ID 003090Archived pageSTAT 840 today
Given known group membership, methods which learn from data how to classify objects into the groups are treated. Review of likelihood and posterior based discrimination. Main topics include logistic regression, neural networks, tree-based methods and nearest neighbour methods. Model assessment, training and tuning.
Antirequisite: CM 463; STAT 441
LEC · Course ID 003091Archived pageSTAT 841 today
Visualization of high dimensional data including interactive methods directed at exploration and assessment of structure and dependencies in data. Methods for finding groups in data including traditional and modern methods of cluster analysis. Dimension reduction methods including multi-dimensional scaling, nonlinear and other methods.
Antirequisite: CM 462; STAT 442
LEC · Course ID 012612Archived pageSTAT 842 today
Methods for finding surfaces in high dimensions from incomplete or noisy functional information. Both data adaptive and methods based on fixed parametric structure will be treated. Model assessment, training and tuning.
Antirequisite: CM 464; STAT 444
LEC · Course ID 003092Archived pageSTAT 844 today
Mathematical techniques used to price and hedge derivative securities in modern finance. Modelling, analysis and computations for financial derivative products, including exotic options and swaps in all asset classes. Applications of erivatives in practice.
LEC, TUT · Course ID 011270Archived pageSTAT 846 today
Discussion of inference problems under the headings of hypothesis testing and point and interval estimation. Frequentist and Bayesian approaches to inference. Construction and evaluation of tests and estimators. Large sample theory of point estimation.
Antirequisite: STAT 450
LEC, TUT · Course ID 003094Archived pageSTAT 850 today
Sources of survey error. Probability sampling designs, estimation and efficiency comparisons. Distribution theory and confidence intervals. Generalized regression estimation. Software for survey analysis.
Antirequisite: STAT 454.
LEC · Course ID 003097Archived pageSTAT 854 today
RDG · Course ID 010555Archived pageSTAT 890 today
RDG · Course ID 010556Archived pageSTAT 891 today
Probability measures, random variables as measurable functions, expectation, independence, characteristic functions, limit theorems, applications.
LEC · Course ID 003101Archived pageSTAT 901 today
Review of conditioning on sigma-fields; martingale theory (discrete and continuous-time) and applications; counting processes; Brownian motion; stochastic differential and integral equations and applications; general theory of Markov processes (including martingale problems and semigroup theory), diffusions; weak convergence of stochastic processes on function spaces; functional versions of the central limit theorem and strong laws; convergence of empirical processes.
Antirequisite: ECE 780
LEC · Course ID 003102Archived pageSTAT 902 today
Review of basic numerical methods. Simulation of random variables, stochastic processes and stochastic models in finance. Numerical solution of deterministic and stochastic differential equations. Valuation of complex financial instruments and derivative securities. Project and paper.
LEC · Course ID 003104Archived pageSTAT 906 today
Principles of Inference: sufficiency, conditionality, and likelihood; examples and counter examples; conditional inference and ancillarity. Theory of Hypothesis Testing: Neyman-Pearson lemma; similar tests; invariant tests. Asymptotic Theory: maximum likelihood and related theory; large-sample properties of parametric significance tests. Interval Estimation: confidence intervals and significance intervals; location and scale models, conditional intervals. Introduction to Decision Theory: loss and risk functions, admissibility; minimax and Bayes rules; prior and posterior analysis. The course content of Stat 850 is a presumed prerequisite for Stat 908.
LEC · Course ID 003105Archived pageSTAT 908 today
Multivariate problems as extensions of univariate problems, discriminant analysis, canonical correlation and principle component analysis.
LEC · Course ID 003113Archived pageSTAT 923 today
Iterative model building. ARIMA models, application to forecasting, seasonal models, applications.
LEC · Course ID 003116Archived pageSTAT 929 today
Multiple time series modeling including transfer function and intervention analysis. Various special topics in time series such as outliers, robustness, order determination methods, Kalman filtering, sampling and aggregation, seasonal adjustments.
LEC · Course ID 003117Archived pageSTAT 930 today
This course deals with methods of analyzing data on the time to failure with particular emphasis on the use of regression models for such data. Both parameteric and semi-parametric regression models will be considered.
LEC · Course ID 003120Archived pageSTAT 935 today
Design of medical studies including cohort designs, case-control studies and clinical trials. Measures of association in epidemiological studies. Analysis of data from cohort studies, clinical trials and case-control studies. Other topics such as multiplicity in clinical trials, group randomized designs, sequential and group sequential procedures as time permits. Use of a statistical package (e.g. SAS or S-Plus) to analyze medical data.
LEC · Course ID 003121Archived pageSTAT 937 today
This course will cover some of the basic tools of a statistical consultant. Topics will include the use of statistical packages, problem-solving techniques, discussion of common statistical consulting problems, effective communication of statistical concepts and management of consulting sessions.
LEC · Course ID 003122Archived pageSTAT 938 today
Topics of current interest
Instructor Consent Required
LEC · Course ID 010557Archived pageSTAT 946 today
Topics of current interest
Instructor Consent Required
LEC · Course ID 010558Archived pageSTAT 947 today