Likelihood-based bilateral filters for pre-estimated basis sinograms using photon-counting CT.
Sign Up to like & getrecommendations! Published in 2023 at "Medical physics"
DOI: 10.1002/mp.16251
Abstract: BACKGROUND Noise amplification in material decomposition is an issue for exploiting photon-counting computed tomography (PCCT). Regularization techniques and neighborhood filters have been widely used, but degraded spatial resolution and bias are concerns. PURPOSE This paper proposes… read more here.
Keywords: noise; basis; likelihood based; basis sinograms ... See more keywords
Falco: Fast likelihood‐based collision avoidance with extension to human‐guided navigation
Sign Up to like & getrecommendations! Published in 2020 at "Journal of Field Robotics"
DOI: 10.1002/rob.21952
Abstract: We propose a planning method to enable fast autonomous flight in cluttered environments. Typically, autonomous navigation through a complex environment requires a continuous search on a graph generated by a k‐connected grid or a probabilistic… read more here.
Keywords: based collision; method; navigation; fast likelihood ... See more keywords
Likelihood-based representation of epistemic uncertainty and its application in robustness-based design optimization
Sign Up to like & getrecommendations! Published in 2017 at "Structural and Multidisciplinary Optimization"
DOI: 10.1007/s00158-017-1684-6
Abstract: In this paper, we propose a new likelihood-based methodology to represent epistemic uncertainty described by sparse point and/or interval data for input variables in uncertainty analysis and design optimization problems. A worst-case maximum likelihood-based approach… read more here.
Keywords: likelihood based; design optimization; epistemic uncertainty; uncertainty ... See more keywords
Likelihood-based structural analysis of electron microscopy images.
Sign Up to like & getrecommendations! Published in 2018 at "Current opinion in structural biology"
DOI: 10.1016/j.sbi.2018.03.004
Abstract: Likelihood-based analysis of single-particle electron microscopy images has contributed much to the recent improvements in resolution. By treating particle orientations and classes probabilistically, uncertainties in the reconstruction process are explicitly accounted for, and the risk… read more here.
Keywords: likelihood based; microscopy; analysis; microscopy images ... See more keywords
A penalized likelihood-based quality monitoring via L2-norm regularization for high-dimensional processes
Sign Up to like & getrecommendations! Published in 2019 at "Journal of Quality Technology"
DOI: 10.1080/00224065.2019.1571348
Abstract: Abstract Technological advances have resulted in the introduction of new products and manufacturing processes that have a large number of characteristics and variables to be monitored to ensure the product quality. Simultaneous monitoring of variables… read more here.
Keywords: likelihood based; quality; high dimensional; via norm ... See more keywords
Likelihood-based inference for censored linear regression models with scale mixtures of skew-normal distributions
Sign Up to like & getrecommendations! Published in 2018 at "Journal of Applied Statistics"
DOI: 10.1080/02664763.2017.1408788
Abstract: ABSTRACT In many studies, the data collected are subject to some upper and lower detection limits. Hence, the responses are either left or right censored. A complication arises when these continuous measures present heavy tails… read more here.
Keywords: likelihood based; skew normal; censored linear; based inference ... See more keywords
Comparison of likelihood-based predictors of future Pareto and Lomax record values in terms of Pitman closeness
Sign Up to like & getrecommendations! Published in 2021 at "Communications in Statistics - Theory and Methods"
DOI: 10.1080/03610926.2021.1941112
Abstract: Point prediction of future record values from a sequence of independent and identically distributed Pareto and Lomax random variables is addressed. The focus is on likelihood-based prediction techn... read more here.
Keywords: likelihood based; pareto lomax; record values;
Likelihood-based panel cointegration test in the presence of a linear time trend and cross-sectional dependence
Sign Up to like & getrecommendations! Published in 2018 at "Econometric Reviews"
DOI: 10.1080/07474938.2016.1183070
Abstract: ABSTRACT This article proposes a new likelihood-based panel cointegration rank test which extends the test of Örsal and Droge (2014) (henceforth panel SL test) to dependent panels. The dependence is modelled by unobserved common factors… read more here.
Keywords: likelihood based; panel cointegration; based panel; test ... See more keywords
Empirical likelihood-based inferences for median medical cost regression models with censored data
Sign Up to like & getrecommendations! Published in 2020 at "Journal of Biopharmaceutical Statistics"
DOI: 10.1080/10543406.2020.1821701
Abstract: ABSTRACT Recent studies show that medical cost data can be heavily censored and highly skewed, which leads to have more complex cost data analysis. In this paper, we propose influence function and empirical likelihood (EL)-based… read more here.
Keywords: medical cost; likelihood based; regression; confidence ... See more keywords
Likelihood-Based Adaptive Learning in Stochastic State-Based Models
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Signal Processing Letters"
DOI: 10.1109/lsp.2019.2917495
Abstract: This letter presents an adaptive learning framework for estimating structural parameters in stochastic state-based models (SSMs). SSMs are a useful modeling tool in systems biology and medicine. While models in these disciplines are traditionally hand-crafted,… read more here.
Keywords: state based; based models; adaptive learning; likelihood based ... See more keywords
Likelihood-Based Tree Search for Low Complexity Detection in Large MIMO Systems
Sign Up to like & getrecommendations! Published in 2017 at "IEEE Wireless Communications Letters"
DOI: 10.1109/lwc.2017.2702639
Abstract: A recently reported result on large/massive multiple-input multiple-output (MIMO) detection shows the utility of the branch and bound (BB)-based tree search approach for this problem. We can consider strong branching for improving upon this approach.… read more here.
Keywords: likelihood based; detection; large mimo; based tree ... See more keywords