Results 21 to 30 of about 1,779,788 (319)
Heterogeneity estimates in a biased world [PDF]
PLOS ONE, 2022 Meta-analyses typically quantify heterogeneity of results, thus providing information about the consistency of the investigated effect across studies. Numerous heterogeneity estimators have been devised. Past evaluations of their performance typically presumed lack of bias in the set of studies being meta-analysed, which is often unrealistic.
Johannes Hönekopp, Audrey Helen Linden
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Axioms, 2022 The Poisson maximum likelihood (PML) is used to estimate the coefficients of the Poisson regression model (PRM). Since the resulting estimators are sensitive to outliers, different studies have provided robust Poisson regression estimators to alleviate ...
Issam Dawoud +3 more
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Measurements of Quantum Hamiltonians with Locally-Biased Classical Shadows [PDF]
Communications in Mathematical Physics, 2020 Obtaining precise estimates of quantum observables is a crucial step of variational quantum algorithms. We consider the problem of estimating expectation values of quantum Hamiltonians, obtained on states prepared on a quantum computer.
Charles Hadfield +3 more
semanticscholar +1 more source
The beta Liu-type estimator: simulation and application
Hacettepe Journal of Mathematics and Statistics, 2023 The Beta Regression Model (BRM) is commonly used when analyzing data in which the dependent variable is restricted to the interval [0,1] for example proportion or probability.
Ali Erkoç +3 more
semanticscholar +1 more source
Biases in fiscal multiplier estimates [PDF]
European Journal of Political Economy, 2019 The "true" size of fiscal multipliers is widely debated by economists and policy makers as large (small) multipliers provide arguments to expand (cut) public spending. Within a meta-analytical framework, we ask whether the large observed variance in multiplier estimates can be explained by the national imprint and various author incentives.
Asatryan, Zareh +3 more
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Assortative Mating Biases Marker-based Heritability Estimators [PDF]
Nature Communications, 2021 AbstractMany complex traits are subject to assortative mating (AM), with recent molecular genetic findings confirming longstanding theoretical predictions that AM alters genetic architecture by inducing long range dependence across causal variants. However, all marker-based heritability estimators assume mating is random.
Richard Border +7 more
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Comparing optimal convergence rate of stochastic mesh and least squares method for Bermudan option pricing [PDF]
, 2013 We analyze the stochastic mesh method (SMM) as well as the least squares method (LSM) commonly used for pricing Bermudan options using the standard two phase methodology.
Agarwal, Ankush, Juneja, Sandeep
core +1 more source
Biased goiter prevalence estimate
Indian Journal of Community Medicine, 2009 Sir, There are some basic queries related to the article ‘Prevalence of Goiter in Rural Area of Belgaum District, Karnataka’(1). In the introduction the authors should have made some mention of the magnitude of the problem in Karnataka from earlier studies or should have informed that no such study is available.
Soudarssanane M, Punithakumary P
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E-Jurnal Matematika, 2014 The presence of outliers in observation can result in biased in parameter estimation using ordinary least square (OLS). Robust regression MM-estimator is one of the estimations methods that able to obtain a robust estimator against outliers.
NI PUTU NIA IRFAGUTAMI +2 more
doaj +1 more source
Unbiased Learning-to-Rank with Biased Feedback [PDF]
Web Search and Data Mining, 2016 Implicit feedback (e.g., clicks, dwell times, etc.) is an abundant source of data in human-interactive systems. While implicit feedback has many advantages (e.g., it is inexpensive to collect, user centric, and timely), its inherent biases are a key ...
T. Joachims +2 more
semanticscholar +1 more source