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Medical Physics, ISSN 0094-2405, 08/2014, Volume 41, Issue 8Part1, pp. 260 - n/a
Purpose: Nonstationarity is an important aspect of imaging performance in CT and cone-beam CT (CBCT), especially for systems employing iterative... 
iterative methods | Medical image noise | penalized‐likelihood reconstruction | Noise | cascaded systems analysis | cone‐beam CT | Digital computing or data processing equipment or methods, specially adapted for specific applications | Modulation transfer functions | optical transfer function | imaging task | Computed tomography | modulation transfer function | Numerical approximation and analysis | Computerised tomographs | image resolution | medical image processing | statistical reconstruction | Reconstruction | Image enhancement or restoration, e.g. from bit‐mapped to bit‐mapped creating a similar image | noise‐power spectrum | filtering theory | Spatial analysis | image reconstruction | Biological material, e.g. blood, urine; Haemocytometers | X‐ray detectors | image denoising | image quality | computerised tomography | Cone beam computed tomography | detectability index | Image data processing or generation, in general | Medical image reconstruction | nonstationary noise | Spatial resolution | noise-power spectrum | cone-beam CT | penalized-likelihood reconstruction | MAXIMUM-LIKELIHOOD | SPATIAL-RESOLUTION PROPERTIES | DIAGNOSTIC-RADIOLOGY | LESION DETECTABILITY | RAY COMPUTED-TOMOGRAPHY | FLAT-PANEL IMAGERS | HUMAN OBSERVER PERFORMANCE | RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING | CASCADED SYSTEMS-ANALYSIS | Artifacts | Motion | Likelihood Functions | Anisotropy | Models, Biological | Computer Simulation | Humans | Tomography, X-Ray Computed - methods | Phantoms, Imaging | Tomography, X-Ray Computed - instrumentation | Index Medicus | RADIOLOGY AND NUCLEAR MEDICINE | IMAGE PROCESSING | SPATIAL RESOLUTION | ITERATIVE METHODS | ANISOTROPY | CAT SCANNING | Radiation Imaging Physics
Journal Article
Computational Statistics and Data Analysis, ISSN 0167-9473, 09/2019, Volume 137, pp. 170 - 180
Existing likelihood methods for the additive hazards model with interval censored survival data are limited and often ignore the non-negative constraints on... 
Interval censoring | Automatic smoothing value selection | Additive hazards model | Maximum penalized likelihood estimation | Primal–dual interior point algorithm | Analysis | Models | Algorithms
Journal Article
JOURNAL OF NUCLEAR MEDICINE, ISSN 0161-5505, 07/2018, Volume 59, Issue 7, pp. 1152 - 1158
The resolution and quantitative accuracy of PET are highly influenced by the reconstruction method. Penalized-likelihood estimation algorithms allow for fully... 
SYSTEM | block-sequential regularized expectation maximization | penalization factor | MAXIMUM-LIKELIHOOD | CLINICAL-EVALUATION | IMAGE-RECONSTRUCTION | ALGORITHM | FDG | image reconstruction | PET/CT | ORDERED SUBSETS | EMISSION-TOMOGRAPHY | RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING
Journal Article
Statistica Sinica, ISSN 1017-0405, 2019, Volume 29, Issue 1, pp. 203 - 224
Consider a random sample from a regularly varying distribution function with a finite right endpoint theta and an exponent alpha of regular variation. The... 
Limiting distribution | Irregular case | Maximum likelihood | Endpoint | Exponent | RECORDS | irregular case | maximum likelihood | TAIL | STATISTICS & PROBABILITY | INDEX | limiting distribution | exponent
Journal Article
Journal of Statistical Planning and Inference, ISSN 0378-3758, 02/2013, Volume 143, Issue 2, pp. 419 - 433
The skew-normal and the skew- distributions are parametric families which are currently under intense investigation since they provide a more flexible... 
Boundary estimates | Skew-normal distribution | Anomalies of maximum likelihood estimation | Penalized likelihood | Skew-t distribution | STATISTICS & PROBABILITY | BIAS REDUCTION
Journal Article
Journal of Computational and Graphical Statistics, ISSN 1061-8600, 01/2011, Volume 20, Issue 2, pp. 479 - 491
Journal Article
Statistica Sinica, ISSN 1017-0405, 7/2012, Volume 22, Issue 3, pp. 1123 - 1146
Journal Article
CSAM(Communications for Statistical Applications and Methods), ISSN 2287-7843, 2018, Volume 25, Issue 4, p. 355
The two parameter negative exponential distribution has many practical applications in queuing theory such as the service times of agents in system, the time... 
Lindley approximation | maximum penalized likelihood estimator | progressive type II censored data | Bayes estimator | simulation | Markov chain Mote Carlo technique | two parameter negative exponential distribution
Journal Article
Communications in Statistics - Simulation and Computation, ISSN 0361-0918, 02/2019, Volume 48, Issue 2, pp. 334 - 349
Journal Article
Communications for Statistical Applications and Methods, ISSN 2287-7843, 09/2017, Volume 24, Issue 5, pp. 493 - 505
Journal Article
CSAM(Communications for Statistical Applications and Methods), ISSN 2287-7843, 2017, Volume 24, Issue 5, p. 493
Maximum likelihood estimation (MLE) of the generalized extreme value distribution (GEVD) is known to sometimes over-estimate the positive value of the shape... 
annual maximum daily rainfall | bootstrap-based selection | Beta distribution | quantile estimation | L-moments estimation | penalty function
Journal Article
Communications in Statistics - Theory and Methods, ISSN 0361-0926, 10/2016, Volume 45, Issue 20, pp. 6133 - 6148
The likelihood function of a Gaussian hidden Markov model is unbounded, which is why the maximum likelihood estimator (MLE) is not consistent. A penalized MLE... 
Penalized maximum likelihood | 62F10, 62M09, 62G20 | Gaussian hidden Markov models | Consistency | DISTRIBUTIONS | 62F10 | 62G20 | STATISTICS & PROBABILITY | 62M09 | PARAMETERS | INFERENCE | NORMAL MIXTURES | Economic models | Monte Carlo simulation | Markov analysis | Maximum likelihood estimation | Maximum likelihood estimators | Mathematical models | Statistical methods | Statistics
Journal Article
Computational Statistics, ISSN 0943-4062, 2019, Volume 34, Issue 2, pp. 819 - 846
In this paper, we mainly focus on the penalized maximum likelihood estimation of the high-dimensional approximate factor model. Since the current estimation... 
EM precedure | Accelerated proximal gradient algorithm | Error covariance matrix | Positive definiteness | STATISTICS & PROBABILITY | Analysis | Models | Algorithms | Maximum likelihood estimation | Errors | Economic models | Data analysis | Computer simulation | Covariance | Mathematical analysis | Covariance matrix | Estimating techniques | Matrix methods
Journal Article
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