Results 171 to 180 of about 457 (250)

On subset least squares estimation and prediction in vector autoregressive models with exogenous variables

Canadian Journal of Statistics, EarlyView.
Abstract We establish the consistency and the asymptotic distribution of the least squares estimators of the coefficients of a subset vector autoregressive process with exogenous variables (VARX). Using a martingale central limit theorem, we derive the asymptotic normal distribution of the estimators. Diagnostic checking is discussed using kernel‐based
Pierre Duchesne, Thanh‐Liem Huynh, Mylène Oscar   +2 more
wiley   +1 more source

Retrieval of information to the left of the current fixation during reading Chinese. [PDF]

BMC Psychol
Li L, Gao M, Sui X, Gao X, Radach R.
europepmc   +1 more source

Hidden Markov graphical models with state‐dependent generalized hyperbolic distributions

Canadian Journal of Statistics, EarlyView.
Abstract In this article, we develop a novel hidden Markov graphical model to investigate time‐varying interconnectedness between different financial markets. To identify conditional correlation structures under varying market conditions and accommodate shape features embedded in financial time series, we rely upon the generalized hyperbolic family of ...
Beatrice Foroni, Luca Merlo, Lea Petrella   +2 more
wiley   +1 more source

Asymptotic properties of cross‐classified sampling designs

Canadian Journal of Statistics, EarlyView.
Abstract We investigate the family of cross‐classified sampling designs across an arbitrary number of dimensions. We introduce a variance decomposition that enables the derivation of general asymptotic properties for these designs and the development of straightforward and asymptotically unbiased variance estimators.
Jean Rubin, Guillaume Chauvet
wiley   +1 more source

A goodness‐of‐fit test for regression models with discrete outcomes

Canadian Journal of Statistics, EarlyView.
Abstract Regression models are often used to analyze discrete outcomes, but classical goodness‐of‐fit tests such as those based on the deviance or Pearson's statistic can be misleading or have little power in this context. To address this issue, we propose a new test, inspired by the work of Czado et al.
Lu Yang, Christian Genest, Johanna G. Nešlehová   +2 more
wiley   +1 more source

DiffBP: generative diffusion of 3D molecules for target protein binding. [PDF]

Chem Sci
Lin H, Huang Y, Zhang O, Ma S, Liu M, Li X, Wu L, Wang J, Hou T, Li SZ.   +9 more
europepmc   +1 more source

A partial envelope approach for modelling multivariate spatial‐temporal data

Canadian Journal of Statistics, EarlyView.
Abstract In the new era of big data, modelling multivariate spatial‐temporal data is a challenging task due to both the high dimensionality of the features and complex associations among the responses across different locations and time points.
Reisa Widjaja, Wenbo Wu, Victor De Oliveira, Keying Ye   +3 more
wiley   +1 more source

The Spirituality-Resilience-Happiness Triad: A High-Powered Model for Understanding University Student Well-Being. [PDF]

Eur J Investig Health Psychol Educ
Reyes-Perez MD, Carreño Saucedo L, Sanchez-Levano MJ, Cabanillas-Palomino R, Monje-Yovera PF, Jaime-Rodríguez JP, Atoche-Silva LA, Alarcón-Bustíos JM, Fernández-Altamirano AEF.   +8 more
europepmc   +1 more source

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

Brain structures and their association with executive and attentional abilities in very preterm 8-year-old children. [PDF]

Brain Struct Funct
Décaillet M, Alemán-Gómez Y, Schöttner Sieler M, Denervaud S, Huguenin-Virchaux C, Besuchet L, Fischer Fumeaux CJ, Hagmann P, Schneider J.   +8 more
europepmc   +1 more source