Results 41 to 50 of about 3,294,315 (307)

On Quantum Statistical Inference [PDF]

Journal of the Royal Statistical Society Series B: Statistical Methodology, 2003
SummaryInterest in problems of statistical inference connected to measurements of quantum systems has recently increased substantially, in step with dramatic new developments in experimental techniques for studying small quantum systems. Furthermore, developments in the theory of quantum measurements have brought the basic mathematical framework for ...
Barndorff-Nielsen, Ole Eiler, Gill, Richard D., Jupp, Peter E.   +2 more
openaire   +4 more sources

Statistical inferences in phylogeography [PDF]

Molecular Ecology, 2009
AbstractIn conventional phylogeographic studies, historical demographic processes are elucidated from the geographical distribution of individuals represented on an inferred gene tree. However, the interpretation of gene trees in this context can be difficult as the same demographic/geographical process can randomly lead to multiple different ...
Nielsen, R, Beaumont, MA
openaire   +3 more sources

Neuropsychological and Educational Outcomes in Shwachman–Diamond Syndrome—A Report From the North American Shwachman–Diamond Syndrome Registry

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Shwachman–Diamond syndrome (SDS) is a rare autosomal recessive ribosomopathy characterized by bone marrow failure and multisystem involvement, with emerging evidence of associated neurocognitive impairment. Methods We conducted a retrospective study of 240 individuals with biallelic Shwachman–Bodian–Diamond syndrome (SBDS) mutations
Jane Koo, Melissa Gerstle, Leah Cheng, Richard Cooper, Katherine Coyne, Claire Dusa, Naomi E. Joffe, Diana Schwarz, Sarah Steltz, Akiko Shimamura, Kasiani C. Myers, Thea Quinton   +11 more
wiley   +1 more source

A review of distributed statistical inference

Statistical Theory and Related Fields, 2022
The rapid emergence of massive datasets in various fields poses a serious challenge to traditional statistical methods. Meanwhile, it provides opportunities for researchers to develop novel algorithms.
Yuan Gao, Weidong Liu, Hansheng Wang, Xiaozhou Wang, Yibo Yan, Riquan Zhang   +5 more
doaj   +1 more source

Survival After Hematopoietic Stem Cell Transplantation in Diamond–Blackfan Anemia Syndrome: The Role of Iron Overload—A Systematic Review

Pediatric Blood &Cancer, EarlyView.
ABSTRACT We assessed the effect of iron overload (IO) on mortality and complications following hematopoietic stem cell transplantation (HSCT) in patients with Diamond–Blackfan anemia syndrome (DBAS) in a systematic review of individual participant data and cohort data from observational studies.
Geoffrey Z. L. Kuppens, Evangelia Kiakou, Lieke de Zwart, Maurizio Miano, Eduard J. van Beers, Marc Bierings, Marije Bartels   +6 more
wiley   +1 more source

Serum Myonectin Levels Are Positively Associated With Physical Function and Lower Frailty‐Related Limitation in Maintenance Hemodialysis Patients: A Cross‐Sectional Study

Therapeutic Apheresis and Dialysis, EarlyView.
ABSTRACT Background Maintenance hemodialysis (MHD) patients frequently suffer from frailty, characterized by reduced physical function and poor prognosis. Myokines, such as myonectin, secreted by muscle, are emerging regulators of systemic health. This study investigated the relationship between serum myonectin, adipokines (adiponectin, omentin), and ...
Kenichi Kono, Yoshifumi Moriyama, Koji Ohashi, Naoya Otaka, Minako Tatsumi, Toyoaki Murohara, Noriyuki Ouchi, Satoru Oshima   +7 more
wiley   +1 more source

Statistical inference and statistical learning in economic research – selected challenges

Ekonomista
This paper presents the main trends and the most important challenges related to the use of classical and modern statistical methods in economic research.
Krzysztof Jajuga, Józef Pociecha, Mirosław Szreder   +2 more
doaj   +1 more source

Active Statistical Inference

CoRR
Inspired by the concept of active learning, we propose active inference$\unicode{x2013}$a methodology for statistical inference with machine-learning-assisted data collection. Assuming a budget on the number of labels that can be collected, the methodology uses a machine learning model to identify which data points would be most beneficial to label ...
Tijana Zrnic, Emmanuel J. Candès
openaire   +3 more sources

Comparative Evaluation of Hemodiafiltration, Hemoperfusion, and Standard Hemodialysis on Efficacy, Inflammatory Control, Dialysis Adequacy, and Safety in End‐Stage Renal Disease: A Prospective Observational Study

Therapeutic Apheresis and Dialysis, EarlyView.
ABSTRACT Background Chronic micro‐inflammation in patients with end‐stage renal disease (ESRD) is a significant driver of cardiovascular complications and diminished quality of life. While standard hemodialysis (SHD) effectively manages small‐molecule clearance, its ability to remove medium‐to‐large uremic toxins—the primary catalysts of systemic ...
Hongwei Zuo, Weisi Dai, Jie Mao, Mei Ye, Xingshan Lu, Xiaocui Zhang   +5 more
wiley   +1 more source

Towards more accessible conceptions of statistical inference

, 2011
Summary.  There is a compelling case, based on research in statistics education, for first courses in statistical inference to be underpinned by a staged development path.
Wild, CJ, Horton, NJ, Regan, Matthew, Pfannkuch, Maxine, Wild, Christopher, Regan, M   +5 more
core   +1 more source