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.

Fall 2017 Courses

Fall 2017 Courses
Course - Section Title Days Time Location
ACSC 489 - 01 Actuarial Science Topics - T - - - - - 1715 - 2015 OSS 214
CRN: 43091 4 Credit Hours Instructor: Arkady Shemyakin, Kathryn E. Dederichs The subject matter of these courses will vary from year to year, but will not duplicate existing courses. Descriptions of these courses are available in the Searchable Class Schedule on Murphy Online, View Searchable Class Schedule

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)
STAT 370 - 01 Bayesian Models - - - - - - - -
CRN: 43337 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)
STAT 460 - 01 Statistical Research/Practicum - - - - - - - -
CRN: 42351 4 Credit Hours Instructor: Arkady Shemyakin Students will work individually with the instructor to identify a statistical research topic of current interest or to identify a real practical problem, for which statistics can be used to produce a feasible solution. State and local governments, companies, businesses, TV channels, or even faculty doing research should be the natural source of real practical problems to be solved. For either the research or the practical problem, the final outcome should be a report with publication potential.

Schedule Details

Location Time Day(s)

J-Term 2018 Courses

J-Term 2018 Courses
Course - Section Title Days Time Location

Spring 2018 Courses

Spring 2018 Courses
Course - Section Title Days Time Location