Results 211 to 220 of about 304,578 (296)

Addressing ecological challenges from a quantum computing perspective

Methods in Ecology and Evolution, EarlyView.
Abstract With increased access to data and the advent of computers, the use of statistical tools and numerical simulations is becoming commonplace for ecologists. These approaches help improve our understanding of ecological phenomena and their underlying mechanisms in increasingly complex environments.
Maxime Clenet, Maxime Dion, F. Guillaume Blanchet   +2 more
wiley   +1 more source

Quantum coherence in three-level systems under the combined effect of stark effect and non-linear Kerr medium. [PDF]

Sci Rep
Anwar SJ, Ibrahim M, Khan MK, Abdel-Khalek S, S Alqannas H, Wahiddin MR.   +5 more
europepmc   +1 more source

OccuGAMs: Non‐linear occupancy and abundance modelling with imperfect detection

Methods in Ecology and Evolution, EarlyView.
Abstract Hierarchical occupancy and abundance models (HOAMs) have become a leading approach for inferring wildlife population dynamics because they explicitly account for imperfect detection. HOAMs are suitable for sampling approaches that produce detection histories from repeated visits to the same sites, including direct observations (e.g. bird point
Johannes Maria Sassen, Zachary Amir, Nicholas Clark, Matthew Scott Luskin   +3 more
wiley   +1 more source

A quantum approximate optimization method for finding Hadamard matrices. [PDF]

Sci Rep
Suksmono AB.
europepmc   +1 more source

Enhancing generalizability theory with mixed‐effects models for heteroscedasticity in psychological measurement: A theoretical introduction with an application from EEG data

British Journal of Mathematical and Statistical Psychology, EarlyView.
Abstract Generalizability theory (G‐theory) defines a statistical framework for assessing measurement reliability by decomposing observed variance into meaningful components attributable to persons, facets, and error. Classic G‐theory assumes homoscedastic residual variances across measurement conditions, an assumption that is often violated in ...
Philippe Rast, Peter E. Clayson
wiley   +1 more source

Exponential quantum advantages in learning quantum observables from classical data. [PDF]

npj Quantum Inf
Molteni R, Gyurik C, Dunjko V.
europepmc   +1 more source

Institutionalisation and Institutional Evolution: A Model of Selecting Government Officials in Ancient China

Economics of Transition and Institutional Change, EarlyView.
ABSTRACT The evolution of institutions in selecting government officials in ancient China reflected efficiency considerations and increased power concentration in the hands of the ruler. Selecting government officials in ancient China became more rule‐based over time, and standardisation and centralisation were some key features of this process.
Haiwen Zhou
wiley   +1 more source

The Legacy of Policy Inaction in Climate‐Growth Models

International Economic Review, EarlyView.
ABSTRACT To better understand the structure and core mechanisms of a broad class of climate‐growth models, we study a simplified version of the dynamic integrated model of climate and the economy (DICE) through the lens of growth theory. We analytically show that this model features a continuum of saddle‐point stable steady states.
Thomas Steger, Timo Trimborn
wiley   +1 more source

Variance Matrix Priors for Dirichlet Process Mixture Models With Gaussian Kernels

International Statistical Review, EarlyView.
Summary Bayesian mixture modelling is widely used for density estimation and clustering. The Dirichlet process mixture model (DPMM) is the most popular Bayesian non‐parametric mixture modelling approach. In this manuscript, we study the choice of prior for the variance or precision matrix when Gaussian kernels are adopted.
Wei Jing, Michail Papathomas, Silvia Liverani   +2 more
wiley   +1 more source