Results 61 to 70 of about 1,466 (260)

Dynamic survival risk prediction with time‐varying high‐dimensional images

Canadian Journal of Statistics, EarlyView.
Abstract Integrating longitudinal data with survival models is a prevalent strategy for dynamic survival risk prediction while accounting for subjects' longitudinally observed variables. However, existing methods primarily focus on scalar longitudinal data and seldom tackle the complexities associated with high‐dimensional longitudinal imaging data ...
Bingfan Liu, Haolun Shi, Shu Jiang, Liangliang Wang, Da Ma, Mirza Faisal Beg, Jiguo Cao, for the Alzheimer's Disease Neuroimaging Initiative   +7 more
wiley   +1 more source

High energy resummed predictions for the production of a Higgs boson with at least one jet

Journal of High Energy Physics, 2023
We present all-order predictions for Higgs boson production plus at least one jet which are accurate to leading logarithm in s ̂ / p ⊥ 2 $$ \hat{s}/{\left|{p}_{\perp}\right|}^2 $$ .
Jeppe R. Andersen, Hitham Hassan, Andreas Maier, Jérémy Paltrinieri, Andreas Papaefstathiou, Jennifer M. Smillie   +5 more
doaj   +1 more source

Factorization and resummation for jet processes

Journal of High Energy Physics, 2016
Abstract From a detailed analysis of cone-jet cross sections in effective field theory, we obtain novel factorization theorems which separate the physics associated with different energy scales present in such processes.
Thomas Becher, Matthias Neubert, Lorena Rothen, Ding Yu Shao   +3 more
openaire   +4 more sources

Sudakov resummations at higher orders [PDF]

Nuclear Physics B - Proceedings Supplements, 2006
We summarize our recent results on the resummation of hard-scattering coefficient functions and on-shell form factors in massless perturbative QCD. The threshold resummation has been extended to the fourth logarithmic order for deep-inelastic scattering, Drell-Yan lepton pair production and Higgs production via gluon-gluon fusion.
Moch, S., Vogt, A., Vermaseren, J.
openaire   +2 more sources

Nonlinear permuted Granger causality

Canadian Journal of Statistics, EarlyView.
Abstract Granger causality is an established, contentious method that seeks causal temporal connections via association and precedence. While not true causal inference, it assists in mapping networks of information flow that may warrant further study.
Noah D. Gade, Jordan Rodu
wiley   +1 more source

Threshold resummation of rapidity distributions at fixed partonic rapidity

Journal of High Energy Physics
We derive a general expression for the resummation of rapidity distributions for processes with a colorless final state, such as Drell-Yan or Higgs production, in the limit in which the center-of-mass energy goes on threshold, but with fixed rapidity of ...
Lorenzo De Ros, Stefano Forte, Giovanni Ridolfi, Davide Maria Tagliabue   +3 more
doaj   +1 more source

Pseudo and quasi quark PDF in the BFKL approximation

Journal of High Energy Physics, 2023
I examine the high-energy behavior of the Ioffe-time distribution for the quark bi-local space-like separated operator using the high-energy operator product expansion.
Giovanni Antonio Chirilli
doaj   +1 more source

Copula‐based joint modelling of emergency department visits with time‐varying dependence

Canadian Journal of Statistics, EarlyView.
Abstract Jointly modelling multiple correlated count time series is essential in health services research, where outcomes like emergency visits for mental health and substance use often evolve together. Ignoring these dependencies can obscure meaningful trends and limit the effectiveness of policy evaluation.
Guanjie Lyu, Cindy Feng, Lihui Liu
wiley   +1 more source

HERA data and collinearly-improved BK dynamics

Physics Letters B, 2020
Within the framework of the dipole factorisation, we use a recent collinearly-improved version of the Balitsky-Kovchegov equation to fit the HERA data for inclusive deep inelastic scattering at small Bjorken x.
B. Ducloué, E. Iancu, G. Soyez, D.N. Triantafyllopoulos   +3 more
doaj   +1 more source

Detecting communities when order and direction matter in social network analysis

Canadian Journal of Statistics, EarlyView.
Abstract A novel algorithm combining both node degree and edge betweenness (node degree+edge betweenness) is developed to highlight gradients in connectivity. It identifies communities within complex directed graphs. These are networks that are composed of actors who have ties that originate and end at themselves (self‐loops).
Benjamin Smith, Tyler Pittman, Wei Xu
wiley   +1 more source