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1. Full Text Iterative Weighted Maximum Likelihood Denoising With Probabilistic Patch-Based Weights
by Deledalle, C.-A and Denis, L and Tupin, F
IEEE Transactions on Image Processing, ISSN 1057-7149, 12/2009, Volume 18, Issue 12, pp. 2661 - 2672
Image denoising is an important problem in image processing since noise may interfere with visual or automatic interpretation. This paper presents a new... 
Additive noise | Maximum likelihood estimation | Image processing | Noise reduction | weighted maximum likelihood estimation (WMLE) | Filters | Gaussian noise | synthetic aperture radar (SAR) | patch-based methods | Euclidean distance | nonlocal means (NL means) | Synthetic aperture radar | Image denoising | Signal to noise ratio | Patch-based methods | Synthetic aperture radar (SAR) | Weighted maximum likelihood estimation (WMLE) | Nonlocal means (NL means) | INFORMATION | REPRESENTATION | ALGORITHMS | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | ENGINEERING, ELECTRICAL & ELECTRONIC | SAR IMAGES | UNDECIMATED WAVELET DOMAIN | SEGMENTATION | TRANSFORM | SEPARATION | REGULARIZATION | SPECKLE | Usage | Design and construction | Maximum likelihood estimates (Statistics) | Iterative methods (Mathematics) | Studies | Economic models | Mathematical models | Noise | Similarity | Images | Iterative methods | Pixels | Engineering Sciences | Computer Science | Signal and Image processing
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2. Full Text GLOBAL SELF-WEIGHTED AND LOCAL QUASI-MAXIMUM EXPONENTIAL LIKELIHOOD ESTIMATORS FOR ARMA—GARCH/IGARCH MODELS
by Ke Zhu and Shiqing Ling
The Annals of Statistics, ISSN 0090-5364, 8/2011, Volume 39, Issue 4, pp. 2131 - 2163
This paper investigates the asymptotic theory of the quasi-maximum exponential likelihood estimators (QMELE) for ARMA—GARCH models. Under only a fractional... 
Ergodic theory | Economic models | Statistical variance | Estimation bias | Crude oil | Estimation theory | Autoregressive moving average | Asymptotic theory | Autocorrelation | Estimators | Global self-weighted/local quasi-maximum exponential likelihood estimator | Strong consistency | ARMA-GARCH/IGARCH model | Asymptotic normality | REGRESSION | GARCH PROCESSES | ERRORS | TIME-SERIES MODELS | ASYMPTOTIC THEORY | strong consistency | ARCH | STATISTICS & PROBABILITY | ABSOLUTE DEVIATION ESTIMATION | asymptotic normality | global self-weighted/local quasi-maximum exponential likelihood estimator | CONDITIONAL HETEROSCEDASTICITY | INFINITE VARIANCE | 62M10 | 62P20 | ARMA–GARCH/IGARCH model | 62F12
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3. Full Text Likelihood-based scoring rules for comparing density forecasts in tails
by Diks, Cees and Panchenko, Valentyn and van Dijk, Dick
Journal of Econometrics, ISSN 0304-4076, 2011, Volume 163, Issue 2, pp. 215 - 230
We propose new scoring rules based on conditional and censored likelihood for assessing the predictive accuracy of competing density forecasts over a specific... 
Conditional likelihood | Risk management | Weighted likelihood ratio scores | Censored likelihood | Density forecast evaluation | Scoring rules | class eco A | RISK-MANAGEMENT | TESTS | COMBINATION | PREDICTIVE ABILITY | ACCURACY | CENTRAL LIMIT-THEOREMS | BANK-OF-ENGLAND | NONLINEAR MODELS | RATES | MATHEMATICS, INTERDISCIPLINARY APPLICATIONS | TERM STRUCTURE | SOCIAL SCIENCES, MATHEMATICAL METHODS | ECONOMICS | Density forecast evaluation Scoring rules Weighted likelihood ratio scores Conditional likelihood Censored likelihood Risk management
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4. Full Text Assessment of the SWMM model uncertainties within the generalized likelihood uncertainty estimation (GLUE) framework for a high‐resolution urban sewershed
by Sun, Ning and Hong, Bongghi and Hall, Myrna
Hydrological Processes, ISSN 0885-6087, 03/2014, Volume 28, Issue 6, pp. 3018 - 3034
This research incorporates the generalized likelihood uncertainty estimation (GLUE) methodology in a high‐resolution Environmental Protection Agency Storm... 
uncertainty estimation | sampling approach | parameter estimation | SWMM | GLUE | Parameter estimation | Uncertainty estimation | Sampling approach | TOPMODEL | CATCHMENT | WATER RESOURCES | PARAMETERS | GENETIC ALGORITHM | PREDICTION | LOCALLY WEIGHTED REGRESSION | METHODOLOGY | SENSITIVITY-ANALYSIS | SYSTEMS | AUTOMATIC CALIBRATION
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5. Full Text Soft likelihood functions in combining evidence
by Yager, Ronald R and Elmore, Paul and Petry, Fred
Information Fusion, ISSN 1566-2535, 07/2017, Volume 36, pp. 185 - 190
We develop an approach for flexible computation of likelihood functions of probabilistic evidence in the context of forensic crime investigations. An ordered... 
Evidence aggregation | Attitudinal character | Ordered weighted average | Reliability | Likelihood function | UNCERTAIN-INFORMATION | OWA | COMPUTER SCIENCE, THEORY & METHODS | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | Artificial intelligence
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6. Full Text On interval‐valued fuzzy decision‐making using soft likelihood functions
by Fei, Liguo
International Journal of Intelligent Systems, ISSN 0884-8173, 07/2019, Volume 34, Issue 7, pp. 1631 - 1652
Multicriteria decision‐making approaches have been studied very widely in recent years and are frequently used in many real‐life applications. To select the... 
golden rule | multicriteria decision‐making | reliability | soft likelihood function | aggregation | interval‐valued fuzzy set | ordered weighted average | multicriteria decision-making | SETS | interval-valued fuzzy set | POWER AGGREGATION OPERATOR | MODEL | MULTICRITERIA | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | Decision-making | Multiple criterion | Reliability analysis | Performance enhancement | Agglomeration | Mathematical analysis | Crime
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7. Full Text Evidence combination using OWA‐based soft likelihood functions
by Fei, Liguo and Feng, Yuqiang and Liu, Luning
International Journal of Intelligent Systems, ISSN 0884-8173, 09/2019, Volume 34, Issue 9, pp. 2269 - 2290
Dempster's combination rule has been widely regarded and applied since it is an effective and rigorous method of synthesizing multisource information with its... 
soft likelihood function | multisource information fusion | ordered weighted average | Dempster‐Shafer evidence theory | reliability | Dempster-Shafer evidence theory | COMBINING BELIEF FUNCTIONS | HESITANT FUZZY | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | DECISION-MAKING | OPERATOR | SETS | FRAMEWORK | RULE | ENTROPY | Operators (mathematics) | Reliability aspects
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8. Full Text On intuitionistic fuzzy decision‐making using soft likelihood functions
by Fei, Liguo and Feng, Yuqiang and Liu, Luning and Mao, Weicheng
International Journal of Intelligent Systems, ISSN 0884-8173, 09/2019, Volume 34, Issue 9, pp. 2225 - 2242
Inspired by Yager, in this paper, we present the concept of likelihood for intuitionistic fuzzy sets (IFSs), and propose an approach for flexible computation... 
multicriteria decision‐making | aggregation | ordered weighted average | intuitionistic fuzzy set | likelihood function | reliability | multicriteria decision-making | RULE | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | Decision-making | Fuzzy logic | Fuzzy sets | Multiple criterion | Reliability
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9. Full Text General Bayesian updating and the loss-likelihood bootstrap
by Lyddon, S P and Holmes, C C and Walker, S G
Biometrika, ISSN 0006-3444, 06/2019, Volume 106, Issue 2, pp. 465 - 478
Summary In this paper we revisit the weighted likelihood bootstrap, a method that generates samples from an approximate Bayesian posterior of a parametric... 
Loss-likelihood bootstrap | INFORMATION | CLASSIFICATION | RISK | STATISTICS & PROBABILITY | Model misspecification | INFERENCE | Fisher information | Loss function | MODELS | ROBUST | BIOLOGY | MATHEMATICAL & COMPUTATIONAL BIOLOGY | General Bayesian updating | Bayesian bootstrap | Weighted likelihood bootstrap
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10. Full Text Monitoring censored lifetime data with a weighted‐likelihood scheme
by Zhang, Chi and Tsung, Fugee and Xiang, Dongdong
Naval Research Logistics (NRL), ISSN 0894-069X, 12/2016, Volume 63, Issue 8, pp. 631 - 646
Lifetime experiments are common in many research areas and industrial applications. Recently, process monitoring for lifetime observations has received... 
data censoring | CUSUM chart | weighted likelihood | run length distribution | Weibull distribution | statistical process control | EWMA chart | OPERATIONS RESEARCH & MANAGEMENT SCIENCE | POISSON COUNT DATA | WEIBULL SHAPE PARAMETER | SAMPLE-SIZES | EWMA CONTROL CHART | Censorship | Navy | Simulation | Control charts | Likelihood ratio | Strategy | Robustness | Monitoring | Logistics
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11. Full Text Gaussian likelihood inference on data from trans‐Gaussian random fields with Matérn covariance function
by Yan, Yuan and Genton, Marc G
Environmetrics, ISSN 1180-4009, 08/2018, Volume 29, Issue 5-6, p. n/a
Gaussian likelihood inference has been studied and used extensively in both statistical theory and applications due to its simplicity. However, in practice,... 
heavy tails | spatial statistics | kriging | non‐Gaussian random field | skewness | Gaussian likelihood | Matérn covariance function | Tukey g‐and‐h random field | log‐Gaussian random field | log-Gaussian random field | Tukey g-and-h random field | non-Gaussian random field | Matern covariance function | STATISTICS | SPATIAL RANDOM-FIELDS | STATISTICS & PROBABILITY | MODEL | PARAMETERS | WEIGHTED LEAST-SQUARES | PREDICTION | ENVIRONMENTAL SCIENCES | MATHEMATICS, INTERDISCIPLINARY APPLICATIONS | ESTIMATORS
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12. Full Text Empirical‐likelihood‐based criteria for model selection on marginal analysis of longitudinal data with dropout missingness
by Chen, Chixiang and Shen, Biyi and Zhang, Lijun and Xue, Yuan and Wang, Ming
Biometrics, ISSN 0006-341X, 09/2019, Volume 75, Issue 3, pp. 950 - 965
Longitudinal data are common in clinical trials and observational studies, where missing outcomes due to dropouts are always encountered. Under such context... 
weighted generalized estimating equation | empirical likelihood | model selection | missing at random | Akaike information criterion | Bayesian information criterion | longitudinal data | REGRESSION | GENERALIZED ESTIMATING EQUATIONS | STATISTICS & PROBABILITY | BLOOD-PRESSURE | BIOLOGY | MATHEMATICAL & COMPUTATIONAL BIOLOGY | WEIGHTED ESTIMATING EQUATIONS | INFORMATION CRITERION | Statistics - Methodology
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13. Full Text WEIGHTED LIKELIHOOD ESTIMATION UNDER TWO-PHASE SAMPLING
by Takumi Saegusa and Jon A. Wellner
The Annals of Statistics, ISSN 0090-5364, 2/2013, Volume 41, Issue 1, pp. 269 - 295
We develop asymptotic theory for weighted likelihood estimators (WLE) under two-phase stratified sampling without replacement. We also consider several... 
Censored data | Statistical discrepancies | Musical intervals | Sampling without replacement | Censorship | Calibration | Semiparametric modeling | Estimators | Estimation methods | Perceptron convergence procedure | Estimated weights | Weighted likelihood | Regular | Semiparametric model | Nonregular | DESIGN | semiparametric model | CALIBRATION ESTIMATORS | STRATIFIED SAMPLES | weighted likelihood | STATISTICS & PROBABILITY | EFFICIENT ESTIMATION | estimated weights | nonregular | SEMIPARAMETRIC MODELS | COX REGRESSION | THEOREMS | DISEASE | CASE-COHORT | regular | PROPORTIONAL HAZARDS MODELS | 62N01 | 62E20 | 62D99 | 62G20
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14. Full Text On Pythagorean fuzzy decision making using soft likelihood functions
by Fei, Liguo and Feng, Yuqiang and Liu, Luning
International Journal of Intelligent Systems, ISSN 0884-8173, 12/2019, Volume 34, Issue 12, pp. 3317 - 3335
Multicriteria decision making (MCDM) is to select the optimal candidate which has the best quality from a finite set of alternatives with multiple criteria.... 
Pythagorean fuzzy set (PFS) | soft likelihood function | aggregation | OWA operator | weighted OWA operator | multicriteria decision making (MCDM) | Decision-making | Operators (mathematics) | Fuzzy logic | Fuzzy sets | Multiple criterion | Decision making | Monte Carlo simulation
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15. Full Text A maximum‐likelihood method to estimate a single ADC value of lesions using diffusion MRI
by Jha, Abhinav K and Rodríguez, Jeffrey J and Stopeck, Alison T
Magnetic Resonance in Medicine, ISSN 0740-3194, 12/2016, Volume 76, Issue 6, pp. 1919 - 1931
Purpose Design a statistically rigorous procedure to estimate a single apparent diffusion coefficient (ADC) of lesion from the mean lesion signal intensity in... 
motion misalignment | single ADC value | maximum‐likelihood method | statistics of Rician‐distributed random variables | ADC estimation | maximum-likelihood method | statistics of Rician-distributed random variables | WEIGHTED MRI | RICIAN DISTRIBUTION | COEFFICIENT | LIVER | SEGMENTATION | RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING | Data Interpretation, Statistical | Likelihood Functions | Reproducibility of Results | Algorithms | Humans | Image Interpretation, Computer-Assisted - methods | Sensitivity and Specificity | Image Enhancement - methods | Diffusion Magnetic Resonance Imaging - methods | Neoplasms - diagnostic imaging | Neoplasms - pathology | Magnetic resonance imaging | Analysis | Methods | Single ADC value | Statistics of Rician-distributed random variables | Maximum-likelihood method | Motion misalignment
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16. Full Text Model fit after pairwise maximum likelihood
by Barendse, M. T and Ligtvoet, R and Timmerman, M. E and Oort, F. J
Frontiers in Psychology, ISSN 1664-1078, 04/2016, Volume 7, p. 528
Maximum likelihood factor analysis of discrete data within the structural equation modeling framework rests on the assumption that the observed discrete... 
weighted least squares analysis | PERFORMANCE | POLYTOMOUS VARIABLES | pairwise maximum likelihood analysis | discrete data | POLYCHORIC CORRELATIONS | To be checked by Faculty | WEIGHTED LEAST-SQUARES | CONTINGENCY-TABLES | EXPECTED FREQUENCIES | STRUCTURAL EQUATION MODELS | ORDINAL VARIABLES | fit statistics | Pairwise maximum likelihood analysis | Discrete data | Weighted least squares analysis | Fit statistics | Response bias | Psychological research | Research | Maximum likelihood estimates (Statistics) | strutural equation modeling
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17. Full Text Likelihood Ratio-Based Distribution-Free EWMA Control Charts
by Zou, Changliang and Tsung, Fugee
Journal of Quality Technology, ISSN 0022-4065, 04/2010, Volume 42, Issue 2, pp. 174 - 196
Nonparametric or distribution-free charts are useful in statistical process control when there is a lack of or limited knowledge about the underlying process... 
Statistical Process Control | Anderson-Darling Test | Change Point | Weighted Empirical Distribution | Goodness of Fit | Self-Starting | Statistical process control | Anderson-darling test | Change point | Weighted empirical distribution | Self-starting | Goodness of fit | ROBUSTNESS | STATISTICS & PROBABILITY | SHIFTS | QUALITY-CONTROL | WEIGHTED MOVING AVERAGE | OPERATIONS RESEARCH & MANAGEMENT SCIENCE | CHANGE-POINT | NONPARAMETRIC CONTROL CHARTS | 2-SAMPLE TESTS | CUSUM PROCEDURE | NONNORMALITY | ENGINEERING, INDUSTRIAL | STATISTICAL PROCESS-CONTROL | Studies | Changes | Control charts
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18. Full Text Robust quasi-likelihood estimation for the negative binomial integer-valued GARCH(1,1) model with an application to transaction counts
by Xiong, Lanyu and Zhu, Fukang
Journal of Statistical Planning and Inference, ISSN 0378-3758, 12/2019, Volume 203, pp. 178 - 198
For count time series analysis, the Poisson integer-valued generalized autoregressive conditional heteroscedastic model is very popular but is not usually... 
Additive outliers | Robust estimation | INGARCH model | Negative binomial model | Count data | Weighted maximum likelihood
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