BIOENGINEER

From Association to Cause: Review Maps Causal Inference Methods for Alzheimer’s Molecular Data

A new review surveys causal-inference methods applied to Alzheimer's molecular data, finding that many observational ...
Medical Xpress

Local ancestry inference method could improve accuracy of genetic testing and patient diagnoses

Researchers at Texas Children's Neurological Research Institute (NRI) and Baylor College of Medicine have developed a powerful new tool within the Genome Aggregation Database (gnomAD) to sharpen the ...
BIOENGINEER

New Methods Tame Bayesian Inference When Prior Covariances Lose Rank

Researchers have introduced new dimension and model reduction methods that extend optimal Bayesian inference to problems with ...
umass

Do observational causal inference methods really work?

Over the past several decades, multiple statistical methods have been developed to infer the existence and magnitude of causal effects by analyzing observational data. These methods have been widely ...
ascopubs.org

Causal Inference in Oncology Comparative Effectiveness Research Using Observational Data: Are Instrumental Variables Underutilized?

In the article that accompanies this editorial, Lu et al 5 conducted a systematic review on the use of instrumental variable (IV) methods in oncology comparative effectiveness research. The main ...
Phys.org

Introducing GOBI: A breakthrough computational package for inferring causal interactions in complex systems

In the quest to unravel the underlying mechanisms of natural systems, accurately identifying causal interactions is of paramount importance. Leveraging the advancements in time-series data collection ...
CU Boulder News & Events

Causal inference under selection on observables in operations management research: Matching methods and synthetic controls

The majority of recent empirical papers in operations management (OM) employ observational data to investigate the causal effects of a treatment, such as program or policy adoption. However, as ...
VentureBeat

DeepMind and UC Berkeley show how to make the most of LLM inference-time compute

Given the high costs and slow speed of training large language models (LLMs), there is an ongoing discussion about whether spending more compute cycles on inference can help improve the performance of ...
TechTarget

AI inference is changing data center design requirements

Explore how AI inference is reshaping data center design, with a focus on low latency, tailored hardware, and optimal power ...