Results 31 to 40 of about 7,642,499 (282)

Predicting Epileptogenic Tubers in Patients With Tuberous Sclerosis Complex Using a Fusion Model Integrating Lesion Network Mapping and Machine Learning

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Accurate localization of epileptogenic tubers (ETs) in patients with tuberous sclerosis complex (TSC) is essential but challenging, as these tubers lack distinct pathological or genetic markers to differentiate them from other cortical tubers.
Tinghong Liu, Qi Wang, Suhui Kuang, Dezhi Cao, Ping Ding, Shaohui Zhang, Haihua Wei, Zhirong Wei, Jinshan Xu, Xinyu Huang, Bing Liu, Shuli Liang   +11 more
wiley   +1 more source

Bridging the ARCH model for finance and nonextensive entropy

, 2004
Engle's ARCH algorithm is a generator of stochastic time series for financial returns (and similar quantities) characterized by a time-dependent variance.
, , Abe S., Bouchaud J.-P., Embrechts P., Gell-Mann M., Mantegna R. N., Osorio R., Swinney H., Weiss A. A., White H.   +10 more
core   +1 more source

Radial Bargmann representation for the Fock space of type B [PDF]

, 2016
Let $\nu_{\alpha,q}$ be the probability and orthogonality measure for the $q$-Meixner-Pollaczek orthogonal polynomials, which has appeared in \cite{BEH15} as the distribution of the $(\alpha,q)$-Gaussian process (the Gaussian process of type B) over the $
Asai N., Bożejko M., Chihara T. S., Hora A., Krystek A. D., Królak I., Marek Bożejko, Nobuhiro Asai, Saitoh N., Simon B., Takahiro Hasebe   +10 more
core   +3 more sources

Training Gaussian boson sampling distributions [PDF]

Physical Review A, 2020
Gaussian Boson Sampling (GBS) is a near-term platform for photonic quantum computing. Applications have been developed which rely on directly programming GBS devices, but the ability to train and optimize circuits has been a key missing ingredient for developing new algorithms.
Banchi L., Quesada N., Arrazola J. M.
openaire   +4 more sources

Bayesian Estimation Improves Prediction of Outcomes After Epilepsy Surgery

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT We estimated the statistical power of studies predicting seizure freedom after epilepsy surgery. We extracted data from a Cochrane meta‐analysis. The median power across all studies was 14%. Studies with a median sample size or less (n ≤ 56) and a statistically significant result exaggerated the true effect size by a factor of 5.4, while the ...
Adam S. Dickey, Vineet Reddy, Ammar A. Rashied, Nigel P. Pedersen, Robert T. Krafty   +4 more
wiley   +1 more source

Tails of probability density for sums of random independent variables

, 2001
The exact expression for the probability density $p_{_N}(x)$ for sums of a finite number $N$ of random independent terms is obtained. It is shown that the very tail of $p_{_N}(x)$ has a Gaussian form if and only if all the random terms are distributed ...
A. R. R. Papa, A. V. Nagaev, B. V. Gnedenko, C. Anteneodo, C. Tsallis, I. M. Lifshits, M. F. Shlesinger, M. I. Tribel’skii, M. I. Tribel’skii, Michael I. Tribelsky, R. S. Ellis, T. D. Frank, V. Vinogradov, W. Feller   +13 more
core   +1 more source

On the Gaussian q-distribution

Journal of Mathematical Analysis and Applications, 2009
We present a study of the Gaussian q-measure introduced by Diaz and Teruel from a probabilistic and from a combinatorial viewpoint. A main motivation for the introduction of the Gaussian q-measure is that its moments are exactly the q-analogues of the double factorial numbers. We show that the Gaussian q-measure interpolates between the uniform measure
Díaz, Rafael, Pariguan, Eddy
openaire   +3 more sources

Continuous-variable quantum key distribution with non-Gaussian quantum catalysis [PDF]

Physical Review A, 2018
The non-Gaussian operation can be used not only to enhance and distill the entanglement between Gaussian entangled states, but also to improve the performance of quantum communications. In this paper, we propose a non-Gaussian continuous-variable quantum
Ying Guo, W. Ye, Hai Zhong, Qin Liao
semanticscholar   +1 more source

Fluid Biomarkers of Disease Burden and Cognitive Dysfunction in Progressive Supranuclear Palsy

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Identifying objective biomarkers for progressive supranuclear palsy (PSP) is crucial to improving diagnosis and establishing clinical trial and treatment endpoints. This study evaluated fluid biomarkers in PSP versus controls and their associations with regional 18F‐PI‐2620 tau‐PET, clinical, and cognitive outcomes.
Roxane Dilcher, Charles B. Malpas, Stuart J. McDonald, William T. O’Brien, Craig Despott, Kelly L. Bertram, Matthew P. Pase, Lukas Frontzkowski, Meng Law, Terence J. O’Brien, Lucy Vivash   +10 more
wiley   +1 more source

q-Gaussian based Smoothed Functional Algorithm for Stochastic Optimization

, 2012
The q-Gaussian distribution results from maximizing certain generalizations of Shannon entropy under some constraints. The importance of q-Gaussian distributions stems from the fact that they exhibit power-law behavior, and also generalize Gaussian ...
Bhatnagar, Shalabh, Dukkipati, Ambedkar, Ghoshdastidar, Debarghya   +2 more
core   +1 more source