Results 81 to 90 of about 1,170 (186)

Scalable Approximation of the Transformation‐Free Linear Simplicial–Simplicial Regression via Constrained Iterative Reweighted Least Squares

Statistical Analysis and Data Mining: An ASA Data Science Journal, Volume 19, Issue 4, August 2026.
ABSTRACT Simplicial–simplicial regression concerns statistical modeling scenarios in which both the predictors and the responses contain vectors constrained to lie on the simplex. Fiksel et al. introduced a transformation‐free linear regression framework for this setting, wherein the regression coefficients are estimated by minimizing the Kullback ...
Michail Tsagris, Omar Alzeley
wiley   +1 more source

Variable Selection for Fixed and Random Effects in Multilevel Functional Mixed Effects Models

Statistics in Medicine, Volume 45, Issue 18-19, August 2026.
ABSTRACT We develop a new method for simultaneously selecting fixed and random effects in a multilevel functional regression model. The proposed method is motivated by accelerometer‐derived physical activity data from the 2011 to 2012 cohort of the National Health and Nutrition Examination Survey (NHANES), with the aim of identifying age and race ...
Rahul Ghosal, Marcos Matabuena, Enakshi Saha   +2 more
wiley   +1 more source

On a ‘time’ reparametrization in relativistic electrodynamics with travelling waves

EPJ Web of Conferences, 2018
We briefly report on our method [23] of simplifying the equations of motion of charged particles in an electromagnetic (EM) field that is the sum of a plane travelling wave and a static part; it is based on changes of the dependent variables and the ...
Fiore Gaetano
doaj   +1 more source

Using Latent Representations to Link Disjoint Longitudinal Data for Mixed‐Effects Regression

Statistics in Medicine, Volume 45, Issue 18-19, August 2026.
ABSTRACT Many rare diseases offer limited established treatment options, leading patients to switch therapies when new medications emerge. To analyze the impact of such treatment switches within the low sample size limitations of rare disease trials, it is important to use all available data sources.
Clemens Schächter, Maren Hackenberg, Michelle Pfaffenlehner, Félix B. Tambe‐Ndonfack, Thorsten Schmidt, Astrid Pechmann, Janbernd Kirschner, Jan Hasenauer, Harald Binder   +8 more
wiley   +1 more source

Reparametrization Invariance and the Schrödinger Equation

, 1999
RevTeX,25 ...
Tkach, V. I., Pashnev, A., Rosales, J. J.   +2 more
openaire   +2 more sources

Neutrino amplitude decomposition, S matrix rephasing invariance, and reparametrization symmetry

Journal of High Energy Physics
The S matrix rephasing invariance is one of the fundamental principles of quantum mechanics that originates in its probabilistic interpretation. For a given S matrix which describes neutrino oscillation, one can define the two different rephased ...
Hisakazu Minakata
doaj   +1 more source

Evaluating synthetic substitutes to reduce illegal harvesting and support species recovery

Conservation Biology, Volume 40, Issue 4, August 2026.
Abstract Providing synthetic substitutes is a widely promoted strategy to shift consumer demand away from wildlife products derived from threatened species. Yet, there is little evidence on whether product substitution prevents illegal or unsustainable harvesting and contributes to the recovery of threatened populations.
Aditya Shekhar Malgaonkar, Gareth Whittington‐Jones, Tristan Dickerson, Maswabi Lishandu, Sarah Davies, Zoe Woodgate, Xia Stevens, Choolwe Mulenga, Gift Mulenga, Mathew Phiri, Lucky Mulenga, Manyando Mukela, Gryton Kasamu, Willem A. Nieman, Gareth Mann, Abishek Harihar, Diogo Veríssimo, Rob Pickles   +17 more
wiley   +1 more source

Cointegration in a MIDAS Regression

Oxford Bulletin of Economics and Statistics, Volume 88, Issue 4, Page 712-725, August 2026.
ABSTRACT Mixed data sampling (MIDAS) cointegration models are used to analyse variables observed at different frequencies. In this paper, we start from an assumed autoregressive distributed lag (ADL) model for high‐frequency observations, and derive the resulting representation when the dependent variable is only observed at a lower frequency.
H. Peter Boswijk, Philip Hans Franses
wiley   +1 more source

Towards a 2d QFT analog of the SYK model

Journal of High Energy Physics, 2017
We propose a 2D QFT generalization of the Sachdev-Ye-Kitaev model, which we argue preserves most of its features. The UV limit of the model is described by N copies of a topological Ising CFT. The full interacting model exhibits conformal symmetry in the
Gustavo J. Turiaci, Herman Verlinde
doaj   +1 more source

Score Distillation via Reparametrized DDIM

Advances in Neural Information Processing Systems 37
NeurIPS 2024. 28 pages, 30 figures.
Artem Lukoianov, Haitz Sáez de Ocáriz Borde, Kristjan H. Greenewald, Vitor Campagnolo Guizilini, Timur M. Bagautdinov, Vincent Sitzmann, Justin Solomon 0001   +6 more
openaire   +3 more sources