Works matching DE "AUTOREGRESSIVE models"
Results: 3480
Geographically Weighted Regression–Based Modeling on the Basis of Bandwidth and Autoregressive Coefficient Uncertainty Determined Using Akaike Weights.
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- Transactions in GIS, 2025, v. 29, n. 1, p. 1, doi. 10.1111/tgis.70005
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Classification and Detection of Epileptic Seizures Based on Statistical Features and Autoregressive Model.
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- Traitement du Signal, 2025, v. 42, n. 1, p. 79, doi. 10.18280/ts.420108
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Correlation Analysis of Power Quality and Power Spectrum in Wind Power Hybrid Energy Storage Systems.
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- Energy Engineering, 2025, v. 122, n. 3, p. 1175, doi. 10.32604/ee.2025.061083
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Analysis of Relevant Factors Influencing the Development of Pharmacist Human Resources in China: Based on the Time Series Vector Auto-Regression Model.
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- Risk Management & Healthcare Policy, 2025, v. 17, p. 505, doi. 10.2147/RMHP.S484621
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Learners' Perceptions of WBMT-Assisted Reading Strategies: An Action Research Study.
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- CALICO Journal, 2025, v. 42, n. 1, p. 94, doi. 10.3138/calico-2024-1224
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- Article
Rapid high-fidelity quantum simulations using multi-step nonlinear autoregression and graph embeddings.
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- NPJ Computational Materials, 2025, v. 11, n. 1, p. 1, doi. 10.1038/s41524-024-01479-0
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Historical states modeling for visual tracking.
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- Neural Computing & Applications, 2025, v. 37, n. 7, p. 5831, doi. 10.1007/s00521-024-10921-9
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Spatio-Temporal Distribution of Four Trophically Dependent Fishery Species in the Northern China Seas Under Climate Change.
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- Biology (2079-7737), 2025, v. 14, n. 2, p. 168, doi. 10.3390/biology14020168
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A Penalized Profile Quasi-Likelihood Method for a Semiparametric Varying Coefficient Spatial Autoregressive Panel Model with Fixed Effects.
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- Axioms (2075-1680), 2025, v. 14, n. 2, p. 121, doi. 10.3390/axioms14020121
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Insurers' Loss Portfolio Similarity and Climate Risk Insurance Cost: A Spatial Analysis of US Homeowners Insurance Market.
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- Risks, 2025, v. 13, n. 2, p. 36, doi. 10.3390/risks13020036
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- Article
An IID Test for Functional Time Series with Applications to High-Frequency VIX Index Data.
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- Risks, 2025, v. 13, n. 2, p. 25, doi. 10.3390/risks13020025
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- Article
A new directionality index based on high-resolution joint symbolic dynamics to assess information transfer in multivariate networks.
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- Frontiers in Neuroscience, 2025, p. 1, doi. 10.3389/fnins.2025.1504161
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Loss-Based Variational Bayes Prediction.
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- Journal of Computational & Graphical Statistics, 2025, v. 34, n. 1, p. 84, doi. 10.1080/10618600.2024.2341899
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- Article
Machine Learning Predictors for Min-Entropy Estimation.
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- Entropy, 2025, v. 27, n. 2, p. 156, doi. 10.3390/e27020156
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conDENSE: Conditional Density Estimation for Time Series Anomaly Detection.
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- Journal of Artificial Intelligence Research, 2024, v. 79, p. 801, doi. 10.1613/jair.1.14849
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Spatial interactions of regional labour markets in Europe.
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- University of Tartu - Faculty of Economics & Business Administration Working Paper Series, 2019, n. 116, p. 3
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- Article
SPATIAL INTERACTIONS OF REGIONAL LABOUR MARKETS IN EUROPE.
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- University of Tartu - Faculty of Economics & Business Administration Working Paper Series, 2019, n. 115, p. 3
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- Article
Do Nonresident Students Affect Prices for In-State Students at Public Colleges?
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- Teachers College Record, 2019, v. 121, n. 2, p. 1, doi. 10.1177/016146811912100207
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- Article
The Dynamic Impact of FX Interventions on Financial Markets.
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- Review of Economics & Statistics, 2021, v. 103, n. 5, p. 939, doi. 10.1162/rest_a_00928
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- Article
THE TIME-VARYING EFFECT OF MONETARY POLICY ON ASSET PRICES.
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- Review of Economics & Statistics, 2020, v. 102, n. 4, p. 690, doi. 10.1162/rest_a_00840
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- Article
GPT-3: Its Nature, Scope, Limits, and Consequences.
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- Minds & Machines, 2020, v. 30, n. 4, p. 681, doi. 10.1007/s11023-020-09548-1
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- Article
Strong Consistency for the Conditional Self-weighted M Estimator of GRCA(p) Models.
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- Methodology & Computing in Applied Probability, 2023, v. 25, n. 1, p. 1, doi. 10.1007/s11009-022-09975-w
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- Article
Modelling with the Novel INAR(1)-PTE Process.
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- Methodology & Computing in Applied Probability, 2022, v. 24, n. 3, p. 1735, doi. 10.1007/s11009-021-09878-2
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Efficient and robust estimation for autoregressive regression models using shape mixtures of skewt normal distribution.
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- Methodology & Computing in Applied Probability, 2022, v. 24, n. 3, p. 1519, doi. 10.1007/s11009-021-09872-8
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- Article
Inference for the Lee-Carter Model With An AR(2) Process.
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- Methodology & Computing in Applied Probability, 2022, v. 24, n. 2, p. 991, doi. 10.1007/s11009-021-09898-y
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- Article
Asymptotic Theory for a Stochastic Unit Root Model with Intercept and Under Mis-Specification of Intercept.
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- Methodology & Computing in Applied Probability, 2021, v. 23, n. 3, p. 767, doi. 10.1007/s11009-020-09781-2
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On the Individuals Chart with Supplementary Runs Rules under Serial Dependence.
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- Methodology & Computing in Applied Probability, 2020, v. 22, n. 3, p. 1257, doi. 10.1007/s11009-019-09760-2
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- Article
Modeling Zero Inflation in Count Data Time Series with Bounded Support.
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- Methodology & Computing in Applied Probability, 2018, v. 20, n. 2, p. 589, doi. 10.1007/s11009-017-9577-0
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- Article
Unit Root Testing in Presence of a Double Threshold Process.
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- Methodology & Computing in Applied Probability, 2017, v. 19, n. 2, p. 539, doi. 10.1007/s11009-016-9499-2
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- Article
Sample Path Generation of Lévy-Driven Continuous-Time Autoregressive Moving Average Processes.
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- Methodology & Computing in Applied Probability, 2017, v. 19, n. 1, p. 175, doi. 10.1007/s11009-015-9472-5
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Maximum-Likelihood Asymptotic Inference for Autoregressive Hilbertian Processes.
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- Methodology & Computing in Applied Probability, 2015, v. 17, n. 1, p. 207, doi. 10.1007/s11009-013-9329-8
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- Article
MARM Processes Part I: General Theory.
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- Methodology & Computing in Applied Probability, 2013, v. 15, n. 1, p. 1, doi. 10.1007/s11009-011-9209-z
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MARM Processes Part II: The Empirically-Based Subclass.
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- Methodology & Computing in Applied Probability, 2013, v. 15, n. 1, p. 37, doi. 10.1007/s11009-011-9210-6
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- Article
Weak Convergence of Marked Empirical Processes for Focused Inference on AR( p) vs AR( p + 1) Stationary Time Series.
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- Methodology & Computing in Applied Probability, 2012, v. 14, n. 3, p. 793, doi. 10.1007/s11009-011-9270-7
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- Article
Hodges-Lehmann Estimation of Static Panel Models with Spatially Correlated Disturbances.
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- Computational Economics, 2019, v. 53, n. 1, p. 141, doi. 10.1007/s10614-017-9728-y
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- Article
The Electricity Consumption and Economic Growth Nexus in China: A Bootstrap Seemingly Unrelated Regression Estimator Approach.
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- Computational Economics, 2018, v. 52, n. 4, p. 1195, doi. 10.1007/s10614-017-9709-1
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- Article
Dynamic and Asymmetric Contagion Reactions of Financial Markets During the Last Subprime Crisis.
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- Computational Economics, 2017, v. 50, n. 2, p. 207, doi. 10.1007/s10614-016-9606-z
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- Article
Forecasting US Unemployment with Radial Basis Neural Networks, Kalman Filters and Support Vector Regressions.
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- Computational Economics, 2016, v. 47, n. 4, p. 569, doi. 10.1007/s10614-014-9479-y
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- Article
How to use SETAR models in gretl.
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- Computational Economics, 2015, v. 46, n. 2, p. 231, doi. 10.1007/s10614-014-9445-8
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- Article
Bayesian Unit Root Test in Double Threshold Heteroskedastic Models.
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- Computational Economics, 2013, v. 42, n. 4, p. 471, doi. 10.1007/s10614-012-9354-7
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- Article
Iterative differential autoregressive spectrum estimation for Raman spectrum denoising.
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- Journal of Raman Spectroscopy, 2022, v. 53, n. 1, p. 148, doi. 10.1002/jrs.6266
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- Article
Wintertime atmospheric forcing of subtropical northeastern Pacific SST variability.
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- Climate Dynamics, 2024, v. 62, n. 12, p. 10733, doi. 10.1007/s00382-024-07473-y
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- Article
Coupling annual, monthly and daily weather generators to simulate multisite and multivariate climate variables with low-frequency variability for hydrological modelling.
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- Climate Dynamics, 2019, v. 53, n. 7/8, p. 3841, doi. 10.1007/s00382-019-04750-z
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- Article
Mean warming not variability drives marine heatwave trends.
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- Climate Dynamics, 2019, v. 53, n. 3/4, p. 1653, doi. 10.1007/s00382-019-04707-2
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Potential predictability and forecast skill in ensemble climate forecast: a skill-persistence rule.
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- Climate Dynamics, 2018, v. 51, n. 7/8, p. 2725, doi. 10.1007/s00382-017-4040-z
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- Article
Stochastic implications for long-range rainfall predictions.
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- Climate Dynamics, 2017, v. 49, n. 11/12, p. 4189, doi. 10.1007/s00382-017-3572-6
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- Article
Data-driven prediction strategies for low-frequency patterns of North Pacific climate variability.
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- Climate Dynamics, 2017, v. 48, n. 5/6, p. 1855, doi. 10.1007/s00382-016-3177-5
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- Article
Predictability of the Madden-Julian Oscillation index: seasonality and dependence on MJO phase.
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- Climate Dynamics, 2016, v. 46, n. 1/2, p. 159, doi. 10.1007/s00382-015-2576-3
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- Article
Strategies for reducing the climate noise in model simulations: ensemble runs versus a long continuous run.
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- Climate Dynamics, 2015, v. 44, n. 5/6, p. 1367, doi. 10.1007/s00382-014-2161-1
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- Article
Forecasting of TBM advance rate in hard rock condition based on artificial neural network and genetic programming techniques.
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- Bulletin of Engineering Geology & the Environment, 2020, v. 79, n. 4, p. 2069, doi. 10.1007/s10064-019-01626-8
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- Article