Results 81 to 90 of about 1,338,681 (301)

Maintaining symmetry of simulated likelihood functions [PDF]

This paper suggests solutions to two different types of simulation errors related to Quasi-Monte Carlo integration. Likelihood functions which depend on standard deviations of mixed parameters are symmetric in nature.
Laura Mørch Andersen
core  

Likelihood decision functions [PDF]

, 2012
In both classical and Bayesian approaches, statistical inference is unified and generalized by the corresponding decision theory. This is not the case for the likelihood approach to statistical inference, in spite of the manifest success of the ...
Cattaneo, Marco E. G. V.
core   +1 more source

Advances in Solution‐Processed Textile Triboelectric Nanogenerators: Ink Formation, Processing Strategies, Applications, and Challenges

Advanced Functional Materials, EarlyView.
Advanced ink systems for solution‐processed textile triboelectric nanogenerators are systematically summarized, spanning conductive, tribo‐negative, and tribo‐positive layers. By connecting ink chemistry, deposition methods, and device function, the present review reveals the key governing principles of solution development and highlights practical ...
Xinlong Sun, Stephen Beeby
wiley   +1 more source

Quasi-Likelihood and/or Robust Estimation in High Dimensions

Statistical Science, 2012
We consider the theory for the high-dimensional generalized linear model with the Lasso. After a short review on theoretical results in literature, we present an extension of the oracle results to the case of quasi-likelihood loss. We prove bounds for the prediction error and $\ell_1$-error. The results are derived under fourth moment conditions on the
van de Geer Sara, Müller Patrick
openaire   +5 more sources

Confinement in Metal‐Organic Frameworks as a Route to Harnessing Liquid Barocalorics in the Solid‐State

Advanced Functional Materials, EarlyView.
Encapsulation of solid–liquid barocalorics (BC) within MOFs harnesses their colossal BC performance whilst allowing active control of BC properties through BC‐MOF interactions. ABSTRACT Barocaloric (BC) effects at liquid–vapor transitions in hydrofluorocarbons drive most commercial technologies used for heating and cooling in the heating, ventilation ...
Ming Zeng, Frederic Rendell‐Bhatti, Eamonn T. Connolly, Yang Wang, Clàudia Pérez‐Junyent, Josep‐Lluís Tamarit, Ross S. Forgan, Pol Lloveras, David Boldrin   +8 more
wiley   +1 more source

Randomized block quasi-Monte Carlo sampling for generalized likelihood uncertainty estimation

Hydrology Research
Although hydrological model forecasts aid water management decisions, they normally have predictive uncertainties. Generalized likelihood uncertainty estimation (GLUE) is popular for constructing predictive uncertainty bounds (PUBs).
Charles Onyutha
doaj   +1 more source

Quasi Empirical Likelihood Estimation of Moment Condition Models [PDF]

In this paper, I develop a quasi empirical likelihood estimator that has good finite-sample properties when there are many moment conditions. I show that the quasi empirical likelihood estimator, which uses semiparametric efficient estimation, is an ...
Shane M. Sherlund
core  

Ground‐State Charge‐Transfer Doping in Donor–Acceptor Semiconducting Polymers

Advanced Functional Materials, EarlyView.
This work demonstrates controlled ground‐state charge‐transfer complex formation (GS‐CTC) and doping in a series of diketopyrrolopyrrole‐based donor–acceptor semiconducting polymers paired with a π‐conjugated penta‐t‐butylpentacyanopentabenzo[25]annulene “cyanostar” macrocycle. Complementary experimental techniques show how subtle molecular, electronic,
Tanner L. Smith, Akshay N. Shah, Tanya A. Balandin, Michel De Keersmaecker, Paramasivam Mahalingam, Debapriya Gupta, Siqi Yu, Eui Hyun Suh, Pushkar Dalal, Erin L. Ratcliff, Scott P. O. Danielsen, Tse Nga Ng, Amar H. Flood, Jason D. Azoulay   +13 more
wiley   +1 more source

Approximate Bayesian computation for inferring Waddington landscapes from single-cell data

Royal Society Open Science
Single-cell technologies allow us to gain insights into cellular processes at unprecedented resolution. In stem cell and developmental biology snapshot data allow us to characterize how the transcriptional states of cells change between successive cell ...
Yujing Liu, Stephen Y. Zhang, Istvan T. Kleijn, Michael P. H. Stumpf   +3 more
doaj   +1 more source

Parameter Estimation of p-dimensional Rayleigh Distribution under Weighted Loss Function

Ratio Mathematica, 2020
In this paper, p-dimensional Rayleigh distribution is considered. The classical maximum likelihood estimator has been obtained. Bayesian method of estimation is employed in order to estimate the scale parameter of p-dimensional Rayleigh distribution by ...
Arun Kumar Rao, Himanshu Pandey
doaj   +1 more source