Results 171 to 180 of about 291,412 (338)

An Integrated Spatial Autoregressive Model for Analyzing and Simulating Urban Spatial Growth in a Garden City, China. [PDF]

Int J Environ Res Public Health, 2022
Qiu B, Zhou M, Qiu Y, Liu S, Ou G, Ma C, Tu J, Li S.   +7 more
europepmc   +1 more source

A Two‐Stage NLP‐Driven Framework for Interval‐Valued Carbon Price Prediction Using Sentiment Analysis and Error Correction

Journal of Forecasting, EarlyView.
ABSTRACT Accurate predictions of carbon prices are essential for efficient administration and stable operation of carbon markets. Previous studies have mostly focused on point or interval predictions based on point‐valued data. These approaches insufficiently capture the full extent of market volatility.
Di Sha, Xianyi Zeng, Arne Johannssen, Ruolin Wang, Kim Phuc Tran   +4 more
wiley   +1 more source

Multivariate autoregressive model estimation for high-dimensional intracranial electrophysiological data. [PDF]

Neuroimage, 2022
Endemann CM, Krause BM, Nourski KV, Banks MI, Veen BV.   +4 more
europepmc   +1 more source

UniEnc-CASSNAT: An Encoder-Only Non-Autoregressive ASR for Speech SSL Models [PDF]

Ruchao Fan, Natarajan Balaji Shankar, Abeer Alwan   +2 more
openalex   +1 more source

A Novel Approach to Forecasting After Large Forecast Errors

Journal of Forecasting, EarlyView.
ABSTRACT A sequence of increasingly large same‐sign 1‐step‐ahead forecast errors are most likely due to a sudden unexpected shift. Large forecast errors can be expensive, but also contain valuable information. Impulse indicators acting as intercept corrections to set forecasts back on track can be quickly tested for replacing outliers, a location shift
Jennifer L. Castle, Jurgen A. Doornik, David F. Hendry   +2 more
wiley   +1 more source

Degenerate Beta autoregressive model for proportion time-series with zeros or ones: An application to antimicrobial resistance rate using R shiny app. [PDF]

Front Public Health, 2022
Lobo J, Kamath A, Kalwaje Eshwara V.
europepmc   +1 more source

Optimal Variance Forecasting in a Trading Context

Journal of Forecasting, EarlyView.
ABSTRACT In financial trading, the economic value of return and variance forecasts arises from three key components: an investor's risk preference, the quality of return predictions, and the accuracy of risk estimates. This study isolates the third component—risk knowledge—and demonstrates that its contribution is a non‐linear function of realized and ...
Nick Taylor
wiley   +1 more source

Identification of Visual Imagery by Electroencephalography Based on Empirical Mode Decomposition and an Autoregressive Model. [PDF]

Comput Intell Neurosci, 2022
Fu Y, Li Z, Gong A, Qian Q, Su L, Zhao L.   +5 more
europepmc   +1 more source

Multi-Step Inflation Prediction with Functional Coefficient Autoregressive Model [PDF]

, 2018
Man Wang, Kun Chen, Qin Luo, Cheng Chao
openalex   +1 more source

Investigation of Social Media Metrics With Respect to Demand Modeling for Promotional Products

Journal of Forecasting, EarlyView.
ABSTRACT Social media (SM) has revolutionized the way companies connect with customers, enabling more personalized marketing strategies and enhancing engagement. With platforms like Facebook offering detailed user data, businesses can create more targeted advertising campaigns. This paper proposes an approach to categorizing SM variables based on their
Yvonne Badulescu, Fernan Cañas, Ari‐Pekka Hameri, Naoufel Cheikhrouhou   +3 more
wiley   +1 more source