Results 101 to 110 of about 8,348,933 (325)

Objective Priors: An Introduction for Frequentists

open access: yes, 2011
Bayesian methods are increasingly applied in these days in the theory and practice of statistics. Any Bayesian inference depends on a likelihood and a prior.
Ghosh, Malay
core   +1 more source

Motive and Opportunity: Order Choice in a Limit Order Book With Dispersed Information

open access: yesInternational Journal of Finance &Economics, EarlyView.
ABSTRACT We test predictions of market microstructure theory relating to the determinants of order choice in a limit order book where information is dispersed among traders. Using an experimental limit order book, with a large state space, we find that informed traders exhibit patience, compatible with the ‘waiting game’ behaviour described in Foster ...
James Steeley   +2 more
wiley   +1 more source

Nuisance parameters, composite likelihoods and a panel of GARCH models [PDF]

open access: yes
We investigate the properties of the composite likelihood (CL) method for (T ×N_T ) GARCH panels. The defining feature of a GARCH panel with time series length T is that, while nuisance parameters are allowed to vary across N_T series, other parameters ...
Cavit Pakel   +2 more
core  

True Cramer-Rao bounds for carrier and symbol synchronization [PDF]

open access: yes, 2002
This contribution considers the Cramer-Rao bound (CRB) related to estimating the synchronization parameters (carrier phase, carrier frequency and time delay) of a noisy linearly modulated signal with random data symbols.
Moeneclaey, Marc   +2 more
core   +1 more source

A sieve M-theorem for bundled parameters in semiparametric models, with application to the efficient estimation in a linear model for censored data

open access: yes, 2012
In many semiparametric models that are parameterized by two types of parameters---a Euclidean parameter of interest and an infinite-dimensional nuisance parameter---the two parameters are bundled together, that is, the nuisance parameter is an unknown ...
Ding, Ying, Nan, Bin
core   +1 more source

White Matter Dysfunction and Neurotransmitter Basis Underlying the Freezing of Gait in Parkinson's Disease

open access: yesiNew Medicine, EarlyView.
In the freezing of gait in Parkinson's disease, white matter shows decreased local activity but increased functional connectivity. These distinct dysfunctions are uniquely associated with specific neurotransmitter systems (GABA, dopamine, etc.), mapping a new neurochemical basis for this debilitating symptom. ABSTRACT Freezing of gait (FOG) is a severe
Pingping Liu   +10 more
wiley   +1 more source

Congenial Causal Inference with Binary Structural Nested Mean Models

open access: yes, 2017
Structural nested mean models (SNMMs) are among the fundamental tools for inferring causal effects of time-dependent exposures from longitudinal studies.
Richardson, Thomas S.   +2 more
core  

Disrupted Brain Structure and Function in Alzheimer's Disease Patients With Behavioral and Psychological Symptoms

open access: yesiNew Medicine, EarlyView.
ABSTRACT Behavioral and psychological symptoms of dementia (BPSD) are highly prevalent in Alzheimer's disease (AD), but the underlying mechanisms are unclear. This study aims to elucidate the neuropathological mechanisms underlying BPSD by investigating gray matter volume (GMV) and brain connectivity in AD patients with and without BPSD.
Xuerui Pang   +8 more
wiley   +1 more source

On the Nuisance Parameter Elimination Principle in Hypothesis Testing

open access: yesEntropy
The Non-Informative Nuisance Parameter Principle concerns the problem of how inferences about a parameter of interest should be made in the presence of nuisance parameters. The principle is examined in the context of the hypothesis testing problem.
Andrés Felipe Flórez Rivera   +3 more
doaj   +1 more source

Hypothesis Testing in the Presence of One-sided Nuisance Parameters [PDF]

open access: yes
In this paper, we investigate whether similar improvements are observed when we have a non-sample information regarding the nuisance parameters in the testing problem.
Anthony W. Hughes
core  

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