ACTUARIAL STATISTICS FOR RISK MODELING

Name: ACTUARIAL STATISTICS FOR RISK MODELING
Availability: OutOfStock
Rating: 4.3 (34 reviews)

ACTSCI 640

과목 설명

Introduction to statistical learning theory and methods for analyzing and modeling risks in actuarial applications. Topics include linear and nonlinear models; diagnostics and assessment of predictive models; variable and model selection; and non-supervised learning techniques.

선수과목

(GENBUS 317 , ECON 410 , MATH/STAT 310 , STAT 312 , STAT 333 , or STAT 340 ), graduate/professional standing, or declared in Capstone Certificate in Actuarial Science

충족 요건

GENBUS 657 , ACTSCI 654 , ACTSCI 655 , and ACTSCI 657

학점

미보고

개설 시기

미보고

평점

3.35

-2.56% 과거 데이터 대비

수료율

100%

과거 데이터 대비 변화 없음

A 비율

35.29%

20% 과거 데이터 대비

학급 규모

과거 데이터 대비 변화 없음

Cumulative Grade Distribution

강사 (2026 Summr)

다음 사이트의 평점순으로 정렬 Rate My Professors

유사 과목

ADVANCED SHORT-TERM ACTUARIAL MODELING

ACTSCI 653

Estimation of parameters of probability distributions appropriate for insurance data that are heavy tailed and skewed; assessment of credibility of data for ratemaking.

RISK ANALYTICS

ACTSCI 657

Develop a toolbox for modeling, communicating, and managing risk and uncertainty in business applications. Emphasis on the notation of probabilistic forecasting and introduces a predictive modeling framework that integrate modern machine learning methods with distribution-based regression models. Topics include heavy-tailed regression, count data regression, survival data analysis, feature engineering using neural networks and natural language processing, among others.

FUNDAMENTALS OF SHORT-TERM ACTUARIAL MODELING

ACTSCI 652

Definition and selection of probability distributions appropriate for insurance data that are heavily tailed and skewed.

PROBABILITY FOR ACTUARIES

ACTSCI 300

Develop a knowledge of fundamental mathematical tools for quantitatively assessing risk. Emphasize the applications of these tools to problems encountered in actuarial science.

ACTUARIAL SCIENCE METHODS II

ACTSCI 301

Develop a knowledge of mathematical tools for quantitatively assessing financial risk. Emphasize the applications to problems encountered in actuarial science.