Probabilistic programming for embedding theory and quantifying uncertainty in econometric analysis
The replication crisis in empirical research calls for a more mindful approach to how we
apply and report statistical models. For empirical research to have a lasting (policy) impact …
apply and report statistical models. For empirical research to have a lasting (policy) impact …
A roadmap for ribosome assembly in human mitochondria
E Lavdovskaia, E Hanitsch, A Linden… - Nature Structural & …, 2024 - nature.com
Mitochondria contain dedicated ribosomes (mitoribosomes), which synthesize the
mitochondrial-encoded core components of the oxidative phosphorylation complexes. The …
mitochondrial-encoded core components of the oxidative phosphorylation complexes. The …
Status Report on the Chicago-Carnegie Hubble Program (CCHP): Three Independent Astrophysical Determinations of the Hubble Constant Using the James Webb …
WL Freedman, BF Madore, IS Jang, TJ Hoyt… - arXiv preprint arXiv …, 2024 - arxiv.org
We present the latest results from the Chicago Carnegie Hubble Program (CCHP) to
measure the Hubble constant using data from the James Webb Space Telescope (JWST) …
measure the Hubble constant using data from the James Webb Space Telescope (JWST) …
Bayesian mechanistic inference, statistical mechanics, and a new era for Monte Carlo
DM Zuckerman, A George - Journal of Chemical Theory and …, 2024 - ACS Publications
On the one hand, much of computational chemistry is concerned with “bottom-up”
calculations which elucidate observable behavior starting from exact or approximated …
calculations which elucidate observable behavior starting from exact or approximated …
Automated statistical model discovery with language models
Statistical model discovery involves a challenging search over a vast space of models
subject to domain-specific modeling constraints. Efficiently searching over this space …
subject to domain-specific modeling constraints. Efficiently searching over this space …
Predicting the length of stay of cardiac patients based on pre-operative variables—bayesian models vs. machine learning models
Length of stay (LoS) prediction is deemed important for a medical institution's operational
and logistical efficiency. Sound estimates of a patient's stay increase clinical preparedness …
and logistical efficiency. Sound estimates of a patient's stay increase clinical preparedness …
Complex trade-offs in a dual-target visual search task are indexed by lateralised ERP components
In everyday tasks, the choices we make incorporate complex trade-offs between conflicting
factors that affect how we will achieve our goals. Previous experimental research has used …
factors that affect how we will achieve our goals. Previous experimental research has used …
Pattern completion and disruption characterize contextual modulation in the visual cortex
A key role of sensory processing is integrating information across space. Neuronal
responses in the visual system are influenced by both local features in the receptive field …
responses in the visual system are influenced by both local features in the receptive field …
[HTML][HTML] Solutions and insights for agricultural monitoring, reporting, and verification (MRV) from three consecutive issuances of soil carbon credits
CD Brummitt, CA Mathers, RA Keating… - Journal of …, 2024 - Elsevier
Regenerative agricultural practice adoption on conventionally managed fields has gained
momentum as a climate mitigation strategy, given the ability of these practices to sequester …
momentum as a climate mitigation strategy, given the ability of these practices to sequester …
Probabilistic inference of epigenetic age acceleration from cellular dynamics
The emergence of epigenetic predictors was a pivotal moment in geroscience, propelling
the measurement and concept of biological aging into a quantitative era; however, while …
the measurement and concept of biological aging into a quantitative era; however, while …