Results 101 to 110 of about 83,569 (221)
A Mixed Frequency BVAR for the Australian Economy*
A mixed frequency vector autoregression (MFVAR) model is proposed for nowcasting, forecasting and backcasting Australian macroeconomic indicators at monthly and quarterly frequencies. A novel augmented Minnesota prior for MFVAR models is also introduced.
Kelly Trinh, Jamie L. Cross
wiley +1 more source
Quantum speedup for nonreversible Markov chains. [PDF]
Claudon B, Piquemal JP, Monmarché P.
europepmc +1 more source
Abstract We estimate the price impact of very nearby concurrently listed properties in the Sydney housing market and assess their competition effects. We apply a hedonic model with spatiotemporal effects regularized via a graph Laplacian prior at the month‐by‐SA2 regional level to seven SA4 subregions of metropolitan Sydney. The model structure enables
Willem P. Sijp, Mengheng Li
wiley +1 more source
Reliable uncertainty estimates in deep learning with efficient Metropolis-Hastings algorithms. [PDF]
Schmal M, Mäder P.
europepmc +1 more source
Abstract Optimal allocation of resources to the management of biosecurity risk, threatened species conservation or natural hazards such as bushfires is imperative—because program budgets are usually finite and, therefore, constrained. However, effectively dividing resources among management activities to achieve the greatest benefit remains a ...
Aaron Dodd, Edith Arndt, Anca Hanea
wiley +1 more source
Local Search and the Evolution of World Models
Abstract An open question regarding how people develop their models of the world is how new candidates are generated for consideration out of infinitely many possibilities. We discuss the role that evolutionary mechanisms play in this process. Specifically, we argue that when it comes to developing a global world model, innovation is necessarily ...
Neil R. Bramley +3 more
wiley +1 more source
Special Issue "Role of Molecular Dynamics Simulations and Related Methods in Drug Discovery". [PDF]
Liu H.
europepmc +1 more source
Long‐run confidence: Estimating uncertainty when using long‐run multipliers
Abstract Researchers are often interested in the long‐run relationship (LRR) between variables where the dependent variable has dynamic properties. Though determining the long‐run multiplier (LRM) for an independent variable is straightforward, correctly estimating the significance of the LRM is often difficult, especially when time series are short ...
Mark David Nieman, David A. M. Peterson
wiley +1 more source
An Introduction to Predictive Processing Models of Perception and Decision‐Making
Abstract The predictive processing framework includes a broad set of ideas, which might be articulated and developed in a variety of ways, concerning how the brain may leverage predictive models when implementing perception, cognition, decision‐making, and motor control.
Mark Sprevak, Ryan Smith
wiley +1 more source
Neural barcoding representing cortical spatiotemporal dynamics based on continuous-time Markov chains. [PDF]
Culp JM +5 more
europepmc +1 more source

