Bayesian Inference News Today

In applications of optically stimulated luminescence (OSL) dating to unconsolidated sediments, the burial age of a sample of grains is estimated using statistical models of the distribution of the experimentally determined equivalent doses of the grains, together with estimates of the environmental dose rate. For grains that have been vertically mixed after deposition (e.g., due to bioturbation), existing dose models may fail to appropriately account for the complexity of the mixing process, thu...

We propose a statistical model for narrowing line shapes in spectroscopy that are well approximated as linear combinations of Lorentzian or Voigt functions. We introduce a log-Gaussian Cox process to represent the peak locations thereby providing uncertainty quantification for the line narrowing. Bayesian formulation of the method allows for robust and explicit inclusion of prior information as probability distributions for parameters of the model. Estimation of the signal and its parameters is ...

MIT Professor Tamara Broderick uses Bayesian inference to quantify uncertainty in an effort to better understand the limits of data analysis techniques. She collaborates with scientists in an array of fields, helping them craft better data analysis for their research.

A new technique can help researchers who use Bayesian inference achieve more accurate results more quickly, without a lot of additional work.

Scoop Auckland provides news and views from Auckland, New Zealand

Fundamental questions of memory, existence, and reality feature in the research interests of this year’s Woolf Fisher Scholarship recipients. Worth approximately $70,000 a year for up to four years, a Woolf Fisher Scholarship is one of the most ...

We investigate signal detection in multiple-input-multiple-output (MIMO) communication systems with hardware impairments, such as power amplifier nonlinearity and in-phase/quadrature imbalance. To deal with the complex combined effects of hardware imperfections, neural network (NN) techniques, in particular deep neural networks (DNNs), have been studied to directly compensate for the impact of hardware impairments. However, it is difficult to train a DNN with limited pilot signals, hindering its...

Wildfires are becoming larger and more frequent in forests under climate change, with corresponding increases in area burnt recently and at high-severity. Australian fire regimes are changing rapidly, but the implications for fauna are poorly understood. The first of two overarching aims of this research was to increase understanding of the mechanisms and processes that underpin avian responses to fire regimes in montane dry sclerophyll forests of south-eastern Australia. The second was to inves...

In a recent study posted to the bioRxiv* preprint server, researchers in Italy performed a genome-based comparison of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) XBB recombinant with its parental lineages.

An analysis of these lists — released by Philadelphia, Allegheny, and Erie counties — found that the 3,571 voters submitting flawed ballots were more likely to come from minority communities.