Results 271 to 280 of about 1,215,177 (342)

Causal Inference With Spatial Econometric Models: Challenges and Applications for Epidemiologic Research

Geographical Analysis, EarlyView.
ABSTRACT Spatial econometric models have become very popular in recent years and have started to make their appearance in geospatial studies of health outcomes. Although explicit or implicit causal claims are widely made using these models, this article demonstrates with the use of causal graphs why causal vocabulary should be avoided.
Konstantinos Christopoulos
wiley   +1 more source

High performance computational approach to study model describing reversible two-step enzymatic reaction with time fractional derivative. [PDF]

Sci Rep
Chethan HB, Turki NB, Prakasha DG.
europepmc   +1 more source

A cybersecurity risk analysis framework for systems with artificial intelligence components

International Transactions in Operational Research, EarlyView.
Abstract The introduction of the European Union Artificial Intelligence (AI) Act, the NIST AI Risk Management Framework, and related international norms and policy documents demand a better understanding and implementation of novel risk analysis issues when facing systems with AI components: dealing with new AI‐related impacts; incorporating AI‐based ...
J.M. Camacho, A. Couce‐Vieira, D. Arroyo, D.R. Insua   +3 more
wiley   +1 more source

The impact of a random metric upon a diffusing particle. [PDF]

Sci Rep
Haba Z.
europepmc   +1 more source

The Nassau grouper Epinephelus striatus (Bloch, 1792): Monitoring of the spawning aggregation site ‘El Blanquizal’, southern Mexican Caribbean

Journal of Fish Biology, EarlyView.
Abstract ‘El Blanquizal’ was one of the most important Nassau grouper (Epinephelus striatus) spawning aggregation sites (SAS) in the Mexican Caribbean. However, the characteristics of the population that still uses this site for reproduction remain unknown.
Luis Salgado Cruz, Oscar F. Reyes Mendoza, Karla A. Camacho‐Cruz, Jacobo A. Caamal Madrigal, Johny O. Valdez Iuit, Carlos I. Pérez‐Quiñonez, Daniel Arceo‐Carranza   +6 more
wiley   +1 more source

Green function for a two-dimensional discrete Laplace-Beltrami operator

, 2007
Volodymyr Sushch
openalex   +2 more sources

A Stochastic Tree for Bubble Asset Modelling and Pricing

Journal of Time Series Analysis, EarlyView.
ABSTRACT We introduce a new stochastic tree representation of a strictly stationary submartingale process for modelling, forecasting, and pricing speculative bubbles on commodity and cryptocurrency markets. The model is compared to other trees proposed in the literature on bubble asset modelling and stochastic volatility approximation. We show that the
Christian Gourieroux, Joann Jasiak
wiley   +1 more source

LoG-staging: a rectal cancer staging method with LoG operator based on maximization of mutual information. [PDF]

BMC Med Imaging
Zhang G, Dang H, Zuo Q, Tian Z.
europepmc   +1 more source

Markov Determinantal Point Process for Dynamic Random Sets

Journal of Time Series Analysis, EarlyView.
ABSTRACT The Law of Determinantal Point Process (LDPP) is a flexible parametric family of distributions over random sets defined on a finite state space, or equivalently over multivariate binary variables. The aim of this paper is to introduce Markov processes of random sets within the LDPP framework. We show that, when the pairwise distribution of two
Christian Gouriéroux, Yang Lu
wiley   +1 more source

Occupation Times on the Legs of a Diffusion Spider. [PDF]

Entropy (Basel)
Salminen P, Stenlund D.
europepmc   +1 more source