As clinical drug development becomes more complex and resource-intensive, the FDA’s recent draft guidance on the use of Bayesian statistical methods in clinical trials signals a move toward more ...

Abstract: Time-frequency (TF) analysis is a useful tool for seismic data processing and interpretation. We introduce sparse Bayesian learning (SBL) to TF analysis and propose a new SBL-based ...

We consider the problem of short-term time series forecasting (nowcasting) when there are more possible predictors than observations. The motivating example is the use of Google Trends search engine ...

Abstract: This paper elaborates on the ranked nodes method (RNM) that is used for constructing conditional probability tables (CPTs) for Bayesian networks consisting of a class of nodes called ranked ...

In the midst of epidemics such as COVID-19, therapeutic candidates are unlikely to be able to complete the usual multiyear clinical trial and regulatory approval process within the course of an ...

Compare FIFA rankings, betting odds, and prediction markets to see how each source estimates 2026 World Cup championship ...

Many common issues are related to abnormal insert size distributions in the BAM file. SVTyper provides methods to assess and visualize the characteristics of sequencing libraries. Running SVTyper with ...

Written by Kevin Murphy, 1997--2014. Last updated: 28 June 2014. As of June 2014, this is maintained on Github at https://github.com/bayesnet/bnt ...

A roughly 110,000-year-old Neanderthal male and a roughly 120,000-year-old Neanderthal recovered from the same Siberian cave ...

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