Works matching DE "LOSS functions (Statistics)"
Results: 448
Strong convergence of the functional nonparametric relative error regression estimator under right censoring.
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- Mathematica Slovaca, 2020, v. 70, n. 6, p. 1469, doi. 10.1515/ms-2017-0443
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Research on Multicollinearity in the Grey GM(1,N) Model.
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- Journal of Grey System, 2018, v. 30, n. 4, p. 60
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Regularized learning schemes in feature Banach spaces.
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- Analysis & Applications, 2018, v. 16, n. 1, p. 1, doi. 10.1142/S0219530516500202
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First principles study on electronic and optical properties of Al<sub>x</sub>Ga<sub>1−x</sub>N and In<sub>y</sub>Ga<sub>1−y</sub>N.
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- Optical & Quantum Electronics, 2018, v. 50, n. 4, p. 1, doi. 10.1007/s11082-018-1455-7
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Saturation pulse width effect for small signal gain measurement: theoretical model and experiment.
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- Optical & Quantum Electronics, 2014, v. 46, n. 12, p. 1547, doi. 10.1007/s11082-013-9870-2
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Families of linear efficiency programs based on Debreu's loss function.
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- Journal of Productivity Analysis, 2012, v. 38, n. 2, p. 109, doi. 10.1007/s11123-011-0216-4
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A multiple objective framework for optimal asymmetric tolerance synthesis of mechanical assemblies with degrading components.
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- International Journal of Advanced Manufacturing Technology, 2019, v. 100, n. 9-12, p. 2177, doi. 10.1007/s00170-018-2658-6
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A generalized approach to determine the optimal manufacturing target for arbitrary loss functions and process models.
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- International Journal of Advanced Manufacturing Technology, 2018, v. 97, n. 9-12, p. 3557, doi. 10.1007/s00170-018-2223-3
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Switching Coefficients or Automatic Variable Selection: An Application in Forecasting Commodity Returns.
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- Forecasting, 2022, v. 4, n. 1, p. 275, doi. 10.3390/forecast4010016
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L 0 and L p Loss Functions in Model-Robust Estimation of Structural Equation Models.
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- Psych, 2023, v. 5, n. 4, p. 1122, doi. 10.3390/psych5040075
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Improved appearance loss for deep estimation of image depth.
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- Electronics Letters (Wiley-Blackwell), 2019, v. 55, n. 5, p. 264, doi. 10.1049/el.2018.7656
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A Comparison of Bayes Estimators for the parameter of Rayleigh Distribution with Simulation.
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- Journal of Economics & Administrative Sciences, 2018, v. 24, n. 106, p. 49
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Perspectives on Constrained Forecasting.
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- Bayesian Analysis, 2024, v. 19, n. 4, p. 1013, doi. 10.1214/23-BA1379
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Contributed Discussion.
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- Bayesian Analysis, 2024, v. 19, n. 3, p. 967
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Decoupling Shrinkage and Selection in Gaussian Linear Factor Analysis.
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- Bayesian Analysis, 2024, v. 19, n. 1, p. 181, doi. 10.1214/22-BA1349
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A Loss-Based Prior for Variable Selection in Linear Regression Methods.
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- Bayesian Analysis, 2020, v. 15, n. 2, p. 533, doi. 10.1214/19-BA1162
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Efficient Acquisition Rules for Model-Based Approximate Bayesian Computation.
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- Bayesian Analysis, 2019, v. 14, n. 2, p. 595, doi. 10.1214/18-BA1121
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Contributed comment on Article by Wade and Ghahramani.
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- Bayesian Analysis, 2018, v. 13, n. 2, p. 616
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Contributed comment on Article by Wade and Ghahramani.
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- Bayesian Analysis, 2018, v. 13, n. 2, p. 619
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Contributed comment on Article by Wade and Ghahramani.
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- Bayesian Analysis, 2018, v. 13, n. 2, p. 611
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Contributed comment on Article by Wade and Ghahramani.
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- Bayesian Analysis, 2018, v. 13, n. 2, p. 613
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Invited comment on Article by Wade and Ghahramani.
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- Bayesian Analysis, 2018, v. 13, n. 2, p. 590
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PARAMETER ESTIMATION FOR INVERSE PARETO DISTRIBUTION WITH RANDOMLY CENSORED LIFE TIME DATA.
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- International Journal of Agricultural & Statistical Sciences, 2020, v. 16, n. 1, p. 419
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ROBUST BAYESIAN ANALYSIS OF MOORE AND BILIKAM FAMILY OF LIFETIME DISTRIBUTIONS.
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- International Journal of Agricultural & Statistical Sciences, 2019, v. 15, n. 2, p. 497
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BAYESIAN ESTIMATION FOR THE LINDLEY DISTRIBUTION UNDER PROGRESSIVE TYPE-II CENSORING WITH BINOMIAL REMOVALS.
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- International Journal of Agricultural & Statistical Sciences, 2019, v. 15, n. 1, p. 361
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Improved transformation-based quantile regression.
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- Canadian Journal of Statistics, 2015, v. 43, n. 1, p. 118, doi. 10.1002/cjs.11240
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Online Aggregation of Probabilistic Forecasts Based on the Continuous Ranked Probability Score.
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- Journal of Communications Technology & Electronics, 2020, v. 65, n. 6, p. 662, doi. 10.1134/S1064226920060285
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Training of Neural Network-Based Cascade Classifiers.
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- Journal of Communications Technology & Electronics, 2019, v. 64, n. 8, p. 846, doi. 10.1134/S1064226919080254
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Batch process monitoring using multiway Laplacian autoencoders.
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- Canadian Journal of Chemical Engineering, 2020, v. 98, n. 6, p. 1269, doi. 10.1002/cjce.23738
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Dynamic Risk Assessment of a Nonlinear Non-Gaussian System Using a Particle Filter and Detailed Consequence Analysis.
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- Canadian Journal of Chemical Engineering, 2015, v. 93, n. 7, p. 1201, doi. 10.1002/cjce.22212
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Evaluation of volatility predictions in a VaR framework.
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- Quantitative Finance, 2016, v. 16, n. 5, p. 695, doi. 10.1080/14697688.2015.1062122
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On efficiency of mean–variance based portfolio selection in defined contribution pension schemes.
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- Quantitative Finance, 2014, v. 14, n. 2, p. 237, doi. 10.1080/14697688.2012.708778
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Analysis of the Left Censored Data from the Pareto Type II Distribution.
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- Caspian Journal of Applied Sciences Research, 2013, v. 2, n. 7, p. 53
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Estimation and Prediction of Inverse Lomax Model via Bayesian Approach.
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- Caspian Journal of Applied Sciences Research, 2013, v. 2, n. 3, p. 43
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Comparison of Estimation Methods for Frechet Distribution with Known Shape.
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- Caspian Journal of Applied Sciences Research, 2012, v. 1, n. 10, p. 58
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Bayesian Analysis Of Gumbel Type II Distribution Under Doubly Censored Samples Using Different Loss Functions.
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- Caspian Journal of Applied Sciences Research, 2012, v. 1, n. 10, p. 1
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Production Markovian Inventory Model With Baye's Estimation.
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- Journal of Supply Chain Management Systems, 2018, v. 7, n. 3, p. 16
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Economic Approach for Determining the Time Buffer in Synchronous Manufacturing.
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- Journal of Management & Engineering Integration, 2016, v. 9, n. 2, p. 40
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On Loss Functions for Deep Neural Networks in Classification.
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- Schedae Informaticae, 2016, v. 25, p. 49, doi. 10.4467/20838476SI.16.004.6185
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Credibility estimators with dependence structure over risks and time under balanced loss function.
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- Statistica Neerlandica, 2018, v. 72, n. 2, p. 157, doi. 10.1111/stan.12125
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Unification of some multivariate process capability indices for asymmetric specification region.
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- Statistica Neerlandica, 2017, v. 71, n. 4, p. 286, doi. 10.1111/stan.12112
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Modelling illegal drug participation.
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- Journal of the Royal Statistical Society: Series A (Statistics in Society), 2018, v. 181, n. 1, p. 133, doi. 10.1111/rssa.12252
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Bayesian model selection using the median probability model.
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- WIREs: Computational Statistics, 2015, v. 7, n. 3, p. 185, doi. 10.1002/wics.1352
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Battle damage-oriented spare parts forecasting method based on wartime influencing factors analysis and ε-support vector regression.
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- International Journal of Production Research, 2020, v. 58, n. 4, p. 1178, doi. 10.1080/00207543.2019.1614691
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Prediction Skill of Extended Range 2-m Maximum Air Temperature Probabilistic Forecasts Using Machine Learning Post-Processing Methods.
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- Atmosphere, 2020, v. 11, n. 8, p. 823, doi. 10.3390/atmos11080823
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Handling Class Imbalance in Online Transaction Fraud Detection.
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- Computers, Materials & Continua, 2022, v. 70, n. 2, p. 2861, doi. 10.32604/cmc.2022.019990
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ESTIMATION OF PARAMETERS OF TWO PARAMETER EXPONENTIATED GAMMA DISTRIBUTION USING R SOFTWARE.
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- Pakistan Journal of Statistics, 2018, v. 34, n. 5, p. 359
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CHARACTERIZATION AND BAYESIAN INFERENCE FOR EXPONENTIATED GENERALIZED STANDARD INVERSE EXPONENTIAL DISTRIBUTION.
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- Pakistan Journal of Statistics, 2018, v. 34, n. 4, p. 269
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BAYESIAN ANALYSIS OF MAXWELL-BOLTZMANN DISTRIBUTION UNDER DIFFERENT LOSS FUNCTIONS AND PRIOR DISTRIBUTIONS.
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- Pakistan Journal of Statistics, 2017, v. 33, n. 6, p. 419
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PERFORMANCE OF SOME BIASED ESTIMATORS IN MISSPECIFIED MODEL UNDER MAHALANOBIS LOSS FUNCTION.
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- Pakistan Journal of Statistics, 2017, v. 33, n. 2, p. 135
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