Data Science Decisions in Time

Sequential Hypothesis Testing

Thomas Woolf

This is part of our specialization on Making Decision in Time. For this second course we start with a landmark paper from Chernoff and build new insights into the ideas that his paper sparked. The ending point should bring new code and new algorithm insights into perspective, and use, by many computer and data scientists.

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What's inside

Syllabus

Chernoff and Active Hypothesis Testing

We extend Wald's ideas for sequential hypothesis testing to a new -- and closely related -- problem. In this second course we evaluate how best to choose from a set of hypothesis for sequentially arriving data. This has many modern applications, for example how best to set a price for a new product, what is the best therapy for a patient, how to determine the rare events in a stream of visual images and many many more. We begin by examining a type of visual search for the 'odd one out' and then build from that first week.

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Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Data Science Decisions in Time:Sequential Hypothesis Testing with these activities:

Review Chernoff's Paper

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Read and understand Chernoff's paper to gain a deeper understanding of the course's foundation.

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Download the paper and read it thoroughly
Take notes on key concepts and ideas
Summarize the main points of the paper
Identify areas where you need further clarification

Statistical Methods for Data Analysis

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Read a book to supplement your understanding of statistical methods and their application in data analysis.

View Statistical Thinking: Improving Business... on Amazon

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Read the book and take notes
Identify relevant sections for your course
Summarize key concepts

Sequential Hypothesis Testing Exercises

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Apply Chernoff's ideas to practical problems, improving your understanding and problem-solving skills.

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Solve a variety of sequential hypothesis testing problems
Use different approaches and techniques
Compare your results with others
Seek help from the instructor or classmates if needed

Four other activities

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Tutorials on Hierarchical Searching

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Enhance your understanding of hierarchical searching techniques, which are essential for efficient hypothesis evaluation.

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Find online tutorials or videos on hierarchical searching
Follow the tutorials and practice the algorithms
Use the algorithms to solve real-world problems

Infographic on Chernoff's Ideas

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Create a visually appealing infographic summarizing Chernoff's ideas and their applications.

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Gather key concepts and ideas from the course
Design a layout and visual elements
Incorporate data and examples
Share your infographic with others

Workshop on Large Hypothesis Spaces

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Attend a workshop to learn advanced techniques for handling large and complex hypothesis spaces.

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Identify a relevant workshop
Attend the workshop and take notes
Apply the techniques learned to your own research

Data Science Hackathon on Image Analysis

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Participate in a hackathon to test your skills in applying Chernoff's ideas to image analysis problems.

Browse courses on Image Analysis

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Find a suitable hackathon
Form a team or work on your own
Develop a solution using Chernoff's ideas
Present your solution to judges

Career center

Learners who complete Data Science Decisions in Time:Sequential Hypothesis Testing will develop knowledge and skills that may be useful to these careers: