Results 71 to 80 of about 11,828 (202)

Isotonic Distributional Regression

, 2022
Distributional regression estimates the probability distribution of a response variable conditional on covariates. The estimated conditional distribution comprehensively summarizes the available information on the response variable, and allows to derive all statistical quantities of interest, such as the conditional mean, threshold exceedance ...
openaire   +2 more sources

Matsupexole: A novel nonergot dopamine receptor agonist with sustained efficacy in a rat model of Parkinson's disease and limited off‐target activity

British Journal of Pharmacology, EarlyView.
Background and Purpose Dopamine receptor agonists, particularly targeting the dopamine D2L receptor (D2LR), have been used to treat Parkinson's disease (PD). However, valvular heart disease and somnolence, mainly caused by activating the serotonin 5‐HT2B receptor (5‐HT2BR) and dopamine D3 receptor (D3R), respectively, currently challenge their clinical
Takayuki Suzuki, Fumiki Oana, Masaki Oota, Yuma Handa, Osamu Kaminuma   +4 more
wiley   +1 more source

Online Isotonic Regression

, 2016
We consider the online version of the isotonic regression problem. Given a set of linearly ordered points (e.g., on the real line), the learner must predict labels sequentially at adversarially chosen positions and is evaluated by her total squared loss compared against the best isotonic (non-decreasing) function in hindsight.
Kotłowski, Wojciech, Koolen, Wouter M., Malek, Alan   +2 more
openaire   +2 more sources

The impact of isosmotic conditions on the metabolism and hypoxia tolerance of a reportedly oxyconforming teleost

Journal of Fish Biology, EarlyView.
Abstract Fish must manage the competing demands of ion balance and gas exchange across the gills – a physiological tension known as the osmorespiratory compromise. In dynamic estuarine environments, the osmorespiratory compromise may be exacerbated by variable salinity and periods of hypoxia that demand high respiratory work.
Timothy D. Clark, Luis L. Kuchenmüller, Elizabeth C. Hoots, Maryane Gradito, Jake M. Martin   +4 more
wiley   +1 more source

A non-parametric framework for estimating threshold limit values

BMC Medical Research Methodology, 2005
Background To estimate a threshold limit value for a compound known to have harmful health effects, an 'elbow' threshold model is usually applied. We are interested on non-parametric flexible alternatives.
Ulm Kurt, Salanti Georgia
doaj   +1 more source

A geometrical approach to Iterative Isotone Regression [PDF]

Applied Mathematics and Computation, 2014
25 pages, 5 ...
Guyader, Arnaud, Jégou, Nicolas, Németh, Alexander B., Németh, Sándor Z.   +3 more
openaire   +5 more sources

Evaluation of buprenorphine as optimisation of postoperative analgesia in feral cats undergoing ovariohysterectomy under field conditions

Journal of Small Animal Practice, EarlyView.
Objectives The objective of this prospective, randomised, blinded, observational clinical study was to investigate the effect of subcutaneously administered buprenorphine on postoperative pain in female feral cats undergoing ovariohysterectomy as part of a trap‐neuter‐return programme.
V. Heitzmann, A. Diggelmann, E. Goldinger, A. Schiele   +3 more
wiley   +1 more source

Effective dose of intranasal remimazolam for preoperative sedation in preschool children: a dose-finding study using Dixon’s up-and-down method

Frontiers in Pharmacology
Background:Most preschool children are distressed during anesthesia induction. While current pharmacological methods are useful, there is a need for further optimization to an “ideal” standard.
Ming-Jie Ni, Yu-Ting Jin, Qian-Lin Wu, Ning Zhang, Jia-He Tian, Jun Li, Kai-Ming Yuan   +6 more
doaj   +1 more source

Tensor Changepoint Detection and Eigenbootstrap

Journal of Time Series Analysis, EarlyView.
ABSTRACT Tensor data consisting of multivariate outcomes over the items and across the subjects with longitudinal and cross‐sectional dependence are considered. A completely distribution‐free and tweaking‐parameter‐free detection procedure for changepoints at different locations is designed, which does not require training data.
Michal Pešta, Barbora Peštová, Martin Romaňák   +2 more
wiley   +1 more source

Strict L∞ Isotonic Regression [PDF]

Journal of Optimization Theory and Applications, 2011
Given a function f and weights w on the vertices of a directed acyclic graph G, an isotonic regression of (f,w) is an order-preserving real-valued function that minimizes the weighted distance to f among all order-preserving functions. When the distance is given via the supremum norm there may be many isotonic regressions.
openaire   +1 more source