Results 31 to 40 of about 91,138 (340)

Asymptotic theory of semiparametric $Z$-estimators for stochastic processes with applications to ergodic diffusions and time series

open access: yes, 2009
This paper generalizes a part of the theory of $Z$-estimation which has been developed mainly in the context of modern empirical processes to the case of stochastic processes, typically, semimartingales.
Nishiyama, Yoichi
core   +1 more source

Search for low mass dark matter in DarkSide-50: the bayesian network approach

open access: yesEuropean Physical Journal C: Particles and Fields, 2023
We present a novel approach for the search of dark matter in the DarkSide-50 experiment, relying on Bayesian Networks. This method incorporates the detector response model into the likelihood function, explicitly maintaining the connection with the ...
P. Agnes   +142 more
doaj   +1 more source

On a unified framework for linear nuisance parameters [PDF]

open access: yesEURASIP Journal on Advances in Signal Processing, 2017
Estimation problems in the presence of deterministic linear nuisance parameters arise in a variety of fields. To cope with those, three common methods are widely considered: (1) jointly estimating the parameters of interest and the nuisance parameters, (2) projecting out the nuisance parameters, (3) selecting a reference and then taking differences ...
Yongchang Hu, Geert Leus
openaire   +4 more sources

A Simple Approximation to Bias in Gene–Environment Interaction Estimates When a Case Might Not Be the Case

open access: yesFrontiers in Genetics, 2019
Case–control genetic association studies are often used to examine the role of the genetic basis in complex diseases, such as cancer and neurodegenerative diseases.
Iryna Lobach   +6 more
doaj   +1 more source

Nonlinear dynamics in economics and finance and unit root testing [PDF]

open access: yes, 2013
This paper illustrates the flexibility of the ESTAR model to encompass a number of different characteristics found in economic and financial series, such as multiple equilibria, complex dynamics, chaotic-like behavior, and spurious trends.
Pavlidis, Efthymios   +3 more
core   +1 more source

Understanding the Stochastic Nature of Process Parameter Development of Blown Powder Laser Beam Directed Energy Deposition Additive Manufacturing of Pure Molybdenum

open access: yesAdvanced Engineering Materials, EarlyView.
Identified through the use of statistical design of experiments and metallographic investigation, this study exposes the stochastic origins of intergranular cracks in blown powder laser beam directed energy deposition additive manufacturing of pure molybdenum. It further demonstrates a successful crack mitigation approach with direct correlation to the
Nathaniel J. Lies   +2 more
wiley   +1 more source

Importance and Uncertainty of λ-Estimation for Box–Cox Transformations to Compute and Verify Reference Intervals in Laboratory Medicine

open access: yesStats
Reference intervals play an important role in medicine, for instance, for the interpretation of blood test results. They are defined as the central 95% values of a healthy population and are often stratified by sex and age.
Frank Klawonn   +2 more
doaj   +1 more source

Asymptotic behaviour of estimation equations with functional nuisance or working parameter [PDF]

open access: yes, 1997
We are concerned with the asymptotic theory of semiparametric estimation equations. We are dealing with estimation equations which have a parametric component of interest and a functional (nonparametric) nuisance component.
Pruscha, H., Wellisch, U.
core   +1 more source

Neuromorphic Electronics for Intelligence Everywhere: Emerging Devices, Flexible Platforms, and Scalable System Architectures

open access: yesAdvanced Materials, EarlyView.
The perspective presents an integrated view of neuromorphic technologies, from device physics to real‐time applicability, while highlighting the necessity of full‐stack co‐optimization. By outlining practical hardware‐level strategies to exploit device behavior and mitigate non‐idealities, it shows pathways for building efficient, scalable, and ...
Kapil Bhardwaj   +8 more
wiley   +1 more source

Parameter inference from event ensembles and the top-quark mass

open access: yesJournal of High Energy Physics, 2021
One of the key tasks of any particle collider is measurement. In practice, this is often done by fitting data to a simulation, which depends on many parameters.
Forrest Flesher   +4 more
doaj   +1 more source

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