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What is Inference for Change-Point and Related Processes about?

Here is the podcast description for Inference for Change-Point and Related Processes:

In many applications data is collected over time or can be ordered with respect to some other criteria (e.g. position along a chromosome). Often the statistical properties, such as mean or variance, of the data will change along data. This feature of data is known as non-stationarity. An important and challenging problem is to be able to model and infer how these properties change. Examples occur in environmental applications (e.g. detecting changes in ecological systems due to climatic conditions crossing some critical thresholds), signal processing (e.g. structural analysis of EEG signals), epidemiology (e.g. early detection of hospital infections from changes in patient’s antibody levels), bioinformatics (e.g. detecting changes in copy number variation), and finance (e.g. changing volatility). As technology advances, and ever larger and complex data are collected, the need to model changes in the statistical properties of the data, and the difficulty of making inference for these models increases.

Read more at www.newton.ac.uk/programmes/ICP/

How many episodes of Inference for Change-Point and Related Processes exist?

As of May 5th, 2025, Inference for Change-Point and Related Processes has published 49 episodes.

When was the latest episode of Inference for Change-Point and Related Processes?

The latest episode of Inference for Change-Point and Related Processes was published on Feb 14th, 2014

When did Inference for Change-Point and Related Processes launch?

Inference for Change-Point and Related Processes launched its first episode on Jan 15th, 2014.

Is Inference for Change-Point and Related Processes explicit?

The content of Inference for Change-Point and Related Processes is not explicit.

Who is the author of Inference for Change-Point and Related Processes?

Inference for Change-Point and Related Processes is created by Sarah Middle.

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Inference for Change-Point and Related Processes belongs to the following podcast categories:

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Inference for Change-Point and Related Processes is hosted on Unknown.

Measuring dependence with local Gaussian correlation: Theory and applications.

Measuring dependence with local Gaussian correlation: Theory and applications.

Measuring dependence with local Gaussian correlation: Theory and applications.

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Frequently Asked Questions about Inference for Change-Point and Related Processes

How do I contact Inference for Change-Point and Related Processes?

How many listens/downloads does Inference for Change-Point and Related Processes get?

Does Inference for Change-Point and Related Processes accept guest interviews?

How much does it cost to advertise on Inference for Change-Point and Related Processes?

Where does Inference for Change-Point and Related Processes rank on Apple Podcasts charts?

Where does Inference for Change-Point and Related Processes rank on Spotify's podcast charts?

Which brands have sponsored Inference for Change-Point and Related Processes?

What is Inference for Change-Point and Related Processes about?

How many episodes of Inference for Change-Point and Related Processes exist?

When was the latest episode of Inference for Change-Point and Related Processes?

When did Inference for Change-Point and Related Processes launch?

Is Inference for Change-Point and Related Processes explicit?

Who is the author of Inference for Change-Point and Related Processes?

Which podcast categories does Inference for Change-Point and Related Processes belong to?

Which podcast hosting provider does Inference for Change-Point and Related Processes use?

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Inference for Change-Point and Related Processes

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