Mathematical Statistics: Stationary Stochastic Processes

Education facts

Code: MASC14

<p>An introductory course in stochastic processes.</p><p>The course treats stochastic processes in discrete and continuous time. The main elements are:</p> <p>Models for stochastic dependence.Concepts of description of stationary stochastic processes in the time domain: expectation, covariance, and cross-covariance functions. Concepts of description of stationary stochastic processes in the frequency domain: effect spectrum, cross spectrum. Special processes: Gaussian process, Wiener process, white noise, Gaussian fields in time and space. Stochastic processes in linear filters: relationships between in- and out-signals, auto regression and moving average (AR, MA, ARMA), derivation and integration of stochastic processes. The basics in statistical signal processing: estimation of expectations, covariance function, and spectrum. Application of linear filters: frequency analysis and optimal filters.</p>

Entry requirements

General eligibility and knowledge corresponding to MASA02 Mathematical statistics: Basic course, 15 ECTS (the courses MASB13 Mathematical Statistics for Physicists 7.5 ECTS, and MASB02 Mathematical Statistics for Chemists 7.5 ECTS, are also valid for eligibility). English course 6/B.

Education offerings

Each offering has its own dates and conditions. Closed offerings are retained as history and do not mean that a new application is open.

• Mathematical Statistics: Stationary Stochastic Processes

  Lund University

  Start date: 31 August 2026

  End date: 1 November 2026

  Pace of study: 50 %