Shemyakin, Arkady portrait

Shemyakin, Arkady

Professor
Degree
Ph.D., Russian Academy of Sciences-Siberia
Office
OSS 221
Phone
(651) 962-5522
Toll Free
(800) 328-6819, Ext. 2-5522
Fax
651-962-5670
Mail
OSS 201

Arkady Shemyakin did his graduate study at Novosibirsk State University and post-graduate study at the Sobolev Institute of Mathematics in Novosibirsk, Russia. His main research interests lie in the field of Bayesian Statistics, non-informative priors, and copula analysis with the emphasis on applications to Insurance and Finance.

Dr. Shemyakin has taught full-time at Novosibirsk State University and as a visiting professor at several schools including Astrakhan State University in Russia, University of Minnesota and Heriot-Watt University in Edinburgh, UK.

Arkady is the current President of American Siberian Education Foundation and the past President of the Twin Cities chapter of American Statistical Association. He serves on the editorial boards and as a reviewer for several statistical journals. Besides that, he tries to spend as much time as possible playing chess, tennis, and skiing.

Spring 2017 Courses

Spring 2017 Courses
Course - Section Title Days Time Location
STAT 333 - D01 Applied Statistical Methods - T - R - - - 1330 - 1510 OSS 214
CRN: 20773 4 Credit Hours Instructor: Arkady Shemyakin Regression and exponential smoothing methods; Stochastic Time Series: auto- and cross-correlation, autoregressive moving average models; application to forecasting. Prerequisites: MATH 303 or 314 or STAT 314 or permission of instructor

Schedule Details

Location Time Day(s)
STAT 333 - D02 Applied Statistical Methods - T - R - - - 1525 - 1700 OSS 214
CRN: 21247 4 Credit Hours Instructor: Arkady Shemyakin Regression and exponential smoothing methods; Stochastic Time Series: auto- and cross-correlation, autoregressive moving average models; application to forecasting. Prerequisites: MATH 303 or 314 or STAT 314 or permission of instructor

Schedule Details

Location Time Day(s)
STAT 370 - 01 Bayesian Models M - W - - - - 1525 - 1700 OSS 214
CRN: 21542 4 Credit Hours Instructor: Arkady Shemyakin The course covers a range of statistical models used in applications including: Actuarial Science, Finance, Health and Social Sciences. It is oriented towards practical model construction and problem sovling. Review of parametric statistical models and principles of statistical inference. Application to loss and ruin models. Construction of empirical and parametric models and model selection. Credibility theory. Simulation. Offered every other year. Prerequisite: MATH 313 and STAT 314 or STAT 220 and STAT 320

Schedule Details

Location Time Day(s)

Summer 2017 Courses

Summer 2017 Courses
Course - Section Title Days Time Location

Fall 2017 Courses

Fall 2017 Courses
Course - Section Title Days Time Location
MATH 113 - 08 Calculus I - T - R - - - 1330 - 1510 OSS 227
CRN: 41627 4 Credit Hours Instructor: Arkady Shemyakin An introductory course in calculus: limits; derivatives and integrals of algebraic, exponential, logarithmic and trigonometric functions of one real variable; applications of the derivative in engineering and the natural sciences. Offered Fall, Spring and Summer. Prerequisite: a grade of C- or above in MATH 105 or placement at MATH 113 or above. Four years of high school mathematics, including college algebra and trigonometry, also are recommended as background for this course. NOTE: Students who receive credit for MATH 113 may not receive credit for MATH 108, 109, or 111.

Schedule Details

Location Time Day(s)
MATH 313 - 01 Probability M - W - - - - 1525 - 1700 OSS 214
CRN: 41176 4 Credit Hours Instructor: Arkady Shemyakin Probability theory in discrete and continuous sample spaces; random variables and distribution functions; moments; the moment-generating function; functions of random variables; law of large numbers; central limit theorem. Offered Fall and Spring. Prerequisites: A grade of C- or above in MATH 200 (may be taken concurrently with consent of instructor) NOTE: Students who receive credit for MATH 313 may not receive credit for MATH 303.

Schedule Details

Location Time Day(s)
MATH 313 - 02 Probability - T - R - - - 1525 - 1700 OSS 214
CRN: 42561 4 Credit Hours Instructor: Arkady Shemyakin Probability theory in discrete and continuous sample spaces; random variables and distribution functions; moments; the moment-generating function; functions of random variables; law of large numbers; central limit theorem. Offered Fall and Spring. Prerequisites: A grade of C- or above in MATH 200 (may be taken concurrently with consent of instructor) NOTE: Students who receive credit for MATH 313 may not receive credit for MATH 303.

Schedule Details

Location Time Day(s)