Bayesian Environmental Statistics

taught by Paul Black
and Mark Fitzgerald

Brief Description:

This online course covers the application of Bayesian statistical methods to environmental data and decision-making and EPA's DQO's.

Instructor(s):
Level: INTERMEDIATE / ADVANCED - see prerequisites

Who Should Take This Course:

Environmental consultants, regulators, policy-makers, researchers and managers. Any analyst who has difficulty translating traditional statistical analysis into decisions.

Dates:
November 15, 2013 to December 13, 2013
envirobayes Click here to be reminded of future sessions of this course.

Registration:
Please read the syllabus tab, noting the prerequisites, text and software requirements.

Register Online -$499
Register Online -$399 (you must be affiliated with a college, university or high school)

Add $50 service fee if you require a prior invoice, or if you need to submit a purchase order or voucher, pay by wire transfer or EFT, or refund and reprocess a prior payment. Please use this printed registration form, for these and other special orders.

Courses may fill up at any time and registrations are processed in the order in which they are received. Your registration will be confirmed for the first available course date, unless you specify otherwise. Multiple course registrations may be entitled to tuition discounts; read more.

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Bayesian Environmental Statistics

taught by Paul Black
and Mark Fitzgerald

Aim of Course:

The course provides decision analysis approach to environmental statistics and EPA's DQO's

Traditional frequentist methods in statistics are often ill-suited to environmental problems, where the analysis of data typically must result in decisions with costs and benefits attached. These costs and benefits are rarely included in traditional statistical analyses. In this course, participants will learn to incorporate knowledge or estimates of the "state of the world," as well as the costs and benefits of alternative actions (or inaction), via the application of Bayesian statistical methods to environmental data and decision-making.

Prerequisite(s):

If you are unclear as to whether you have mastered the requirements, try these placement tests here.

Participants should also be familiar with the materials covered in Introduction to Bayesian Statistics.

Course Program:

SESSION 1: A Decision Analysis Approach

• Why it is relevant to environmental problems
• Regulatory considerations

SESSION 2: Bridging the Gap

• Current practice - classical approach
• Effective statistical decision-making requires Bayesian methods

SESSION 3: Binomial Models

• Decisions about presence/absence

SESSION 4: Normal Models

• Mean-based decisions

HOMEWORK:

Homework in this course consists of short answer questions to test concepts and guided data analysis problems using software.

Organization of the Course:

This course takes place over the internet at the Institute for 4 weeks. During each course week, you participate at times of your own choosing - there are no set times when you must be online. Course participants will be given access to a private discussion board. In class discussions led by the instructor, you can post questions, seek clarification, and interact with your fellow students and the instructor.

The course typically requires 15 hours per week. At the beginning of each week, you receive the relevant material, in addition to answers to exercises from the previous session. During the week, you are expected to go over the course materials, work through exercises, and submit answers. Discussion among participants is encouraged. The instructor will provide answers and comments, and at the end of the week, you will receive individual feedback on your homework answers.

Credit:
Students come to the Institute for a variety of reasons. As you begin the course, you will be asked to specify your category:

1. You may be interested only in learning the material presented, and not be concerned with grades or a record of completion.
2. You may be enrolled in PASS (Programs in Analytics and Statistical Studies) that requires demonstration of proficiency in the subject, in which case your work will be assessed for a grade.
3. You may require a "Record of Course Completion," along with professional development credit in the form of Continuing Education Units (CEU's).  For those successfully completing the course, 5.0 CEU's and a record of course completion will be issued by The Institute, upon request.

Course Text:

Course materials will be provided.

Software:

R is used in several homework exercises for weeks 3 and 4, but a lack of facility with R will not prevent you from gaining most of the benefit of this course. Functionality in Excel can, to a large degree, substitute for the use of R. For more information about obtaining free or nominal cost versions of standard software packages, click here.

Register Now

Yes, I want to register for:

Bayesian Environmental Statistics

taught by Paul Black
and Mark Fitzgerald

Instructor(s):
Dates:
November 15, 2013 to December 13, 2013
Course Fee: $499
Academic Rate: $399

Before registering, please read the syllabus tab, noting the prerequisites, text and software requirements. When you click the register button, you will be taken to our secure transaction page.

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