Results 111 to 120 of about 2,032,077 (205)
Why population forecasts should be probabilistic - illustrated by the case of Norway [PDF]
Deterministic population forecasts do not give an appropriate indication of forecast uncertainty. Forecasts should be probabilistic, rather than deterministic, so that their expected accuracy can be assessed.
Dinh Quang Pham +2 more
core
This paper presents a detailed comparative analysis of two data-driven probabilistic forecasting methods - a density-based Empirical Copula (EC) and a non-parametric Quantile Regression (QR) - in the context of load forecasting for day-ahead market ...
Chevron, Max +8 more
core +1 more source
Diffusion‐Based Probabilistic Modeling for Hourly Streamflow Prediction and Assimilation
Water Resources ResearchHourly predictions are critical for issuing flood warnings as the hourly flood peaks can be distinctly higher than the corresponding daily ones. Currently a popular hourly data‐driven prediction scheme is multi‐time‐scale long short‐term memory (MTS‐LSTM)
Wencong Yang +6 more
doaj +1 more source
A valid theory on probabilistic causation [PDF]
In this paper several definitions of probabilistic causation are considered, and their main drawbacks discussed. Current notions of probabilistic causality have symmetry limitations (e.g. correlation and statistical dependence are symmetric notions).
Jose M. Vidal-Sanz
core
Probabilistic Forecast of Tropical Cyclone Precipitation Based on Diffusion Model
Remote SensingPredicting tropical cyclone (TC) precipitation is an important step in disaster prevention and mitigation. However, in the probability prediction of TC precipitation, traditional deep learning models are highly sensitive to initial conditions and can ...
Pengfei Du +3 more
doaj +1 more source
Learned Probabilistic Prediction in a Weightless Neural Network
, 2007 . This paper examines a weightless neural network traind to perform a probabilistic, iconic prediction task. The paper discusses both the network architecture and training scheme used.
Sw Bt +2 more
core
Impairments in Probabilistic Prediction and Bayesian Learning Can Explain Reduced Neural Semantic Priming in Schizophrenia. [PDF]
Schizophr Bull, 2020 Sharpe V, Weber K, Kuperberg GR.
europepmc +1 more source
Combining statistical and ensemble methods for probabilistic wind field prediction
, 2019 Probabilistic wind forecasting is a methodology to deal with uncertainties in numerical weather prediction models (NWP). In this work, we present a combination of statistical and ensemble methods designed for the downscaling wind model Wind3D coupled ...
Montero, Gustavo +3 more
core