Results 11 to 20 of about 376,499 (267)
Bias-Correction In Localization Algorithms [PDF]
GLOBECOM 2009 - 2009 IEEE Global Telecommunications Conference, 2009 In this paper we introduce a new approach to determine the bias in localization algorithms by mixing Taylor series and Jacobian matrices, which results in an easily calculated analytical expression for the bias. To illustrate this approach, we analyze the proposed method in two situations using localization algorithms based on distance measurements ...
Yiming Ji +2 more
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Precipitation ensembles conforming to natural variations derived from a regional climate model using a new bias correction scheme [PDF]
Hydrology and Earth System Sciences, 2016 This study presents a novel bias correction scheme for regional climate model (RCM) precipitation ensembles. A primary advantage of using model ensembles for climate change impact studies is that the uncertainties associated with the systematic error can
K. B. Kim, H.-H. Kwon, D. Han
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Approximate bias correction in econometrics [PDF]
Journal of Econometrics, 1998 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
James G. MacKinnon, Anthony A. Smith Jr.
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Identification of and correction for publication bias [PDF]
American Economic Review, 2018 Some empirical results are more likely to be published than others. Selective publication leads to biased estimates and distorted inference. We propose two approaches for identifying the conditional probability of publication as a function of a study’s results, the first based on systematic replication studies and the second on meta-studies.
Andrews, Isaiah, Kasy, Maximilian
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Sensors, 2021 Recent study points to the value of a non-linear heart rate variability (HRV) biomarker using detrended fluctuation analysis (DFA a1) for aerobic threshold determination (HRVT).
Bruce Rogers +4 more
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Impact of bias correction on climate change signals over central Europe and the Iberian Peninsula
Frontiers in Environmental Science, 2023 Vegetation models for climate adaptation and mitigation strategies require spatially high-resolution climate input data in which the error with respect to observations has been previously corrected.
Alessandro Ugolotti +6 more
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Accounting for Aggregation Bias in Almost Ideal Demand Systems
Journal of Agricultural and Resource Economics, 1996 This study revisits the consistent aggregation (over households) property of almost ideal demand system (AIDS) models and presents a method to explicitly account for expenditure aggregation bias when estimating the aggregate AIDS model with time-series ...
Ronald C. Mittelhammer +2 more
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Bias in Error-Corrected Quantum Sensing
Physical Review Letters, 2022 6 + 13 pages, 2 + 8 figures.
Ivan Rojkov +4 more
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Bootstrap bias corrections for ensemble methods [PDF]
Statistics and Computing, 2016 This paper examines the use of a residual bootstrap for bias correction in machine learning regression methods. Accounting for bias is an important obstacle in recent efforts to develop statistical inference for machine learning methods. We demonstrate empirically that the proposed bootstrap bias correction can lead to substantial improvements in both ...
Giles Hooker, Lucas Mentch
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Higher Order Bias Correcting Moment Equation for M-Estimation and Its Higher Order Efficiency
Econometrics, 2016 This paper studies an alternative bias correction for the M-estimator, which is obtained by correcting the moment equations in the spirit of Firth (1993).
Kyoo il Kim
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