Results 91 to 100 of about 1,015,372 (253)

KCNJ4 variants disrupt inward‐rectifier potassium channel function and cause refractory epilepsy

open access: yesEpilepsia, EarlyView.
Abstract Objective Epilepsy is a common neurological disorder with a strong genetic basis, most frequently arising from ion channel dysfunction. Although multiple inwardly rectifying potassium (Kir) channels have been implicated in epileptogenesis, the contribution of KCNJ4, which encodes the Kir2.3 channel, has not previously been established in human
Hu Pan   +20 more
wiley   +1 more source

Capital Services in U.S. Agriculture: Concepts, Comparisons, and the Treatment of Interest Rates [PDF]

open access: yes
This is a substantially revised version of “Capital Service Flows: Concepts and Comparisons of Alternative Measures in U.S. Agriculture.” Andersen, Matt A.; Alston, Julian M.; Pardey, Philip G., St.
Alston, Julian M.   +2 more
core   +1 more source

High‐Caloric Realimentation and Mental and Physical Well‐Being in Patients With Extreme Anorexia Nervosa. A Prospective Study

open access: yesEuropean Eating Disorders Review, EarlyView.
ABSTRACT Objective While high caloric realimentation (HCR) is increasingly recommended for quick weight restoration of patients with anorexia nervosa (AN), the development of AN‐specific psychopathology and somatic symptoms during HCR have so far insufficiently been studied.
Ulrich Voderholzer   +5 more
wiley   +1 more source

Validation of DSM‐5 Severity Specifiers for Bulimia Nervosa and Binge Eating Disorder and an Alternative Specifier for Binge Eating Disorder in a Korean Cohort

open access: yesEuropean Eating Disorders Review, EarlyView.
ABSTRACT Objective We examined the clinical validity of DSM‐5 severity specifiers for bulimia nervosa (BN) and binge eating disorder (BED) in Korean outpatients. Method Seven hundred ninety‐nine outpatients with BN (n = 668; mean age = 23.7 years; 95% female; mean BMI = 20.54 kg/m2) or BED (n = 131; mean age = 26.1 years; 89% female; mean BMI = 25.07 ...
Zhen An, Youl‐Ri Kim, Janet Treasure
wiley   +1 more source

A Comparison of Realized Measures of Integrated Volatility: Price Duration‐ vs. Return‐Based Approaches

open access: yesJournal of Forecasting, EarlyView.
ABSTRACT We study the accuracy of a variety of parametric price duration‐based realized variance estimators constructed via various financial duration models and compare their forecasting performance with the performance of various nonparametric return‐based realized variance estimators.
Björn Schulte‐Tillmann   +2 more
wiley   +1 more source

Machine Learning Approaches to Forecast the Realized Volatility of Crude Oil Prices

open access: yesJournal of Forecasting, EarlyView.
ABSTRACT This paper presents an evaluation of the accuracy of machine learning (ML) techniques in forecasting the realized volatility of West Texas Intermediate (WTI) crude oil prices. We compare several ML algorithms, including regularization, regression trees, random forests, and neural networks, to several heterogeneous autoregressive (HAR) models ...
Talha Omer   +3 more
wiley   +1 more source

Enhancing Volatility Prediction: A Wavelet‐Based Hierarchical Forecast Reconciliation Approach

open access: yesJournal of Forecasting, EarlyView.
ABSTRACT Forecasting realized volatility (RV) has been widely studied, with numerous techniques developed to enhance predictive accuracy. Among these techniques, the use of RV decompositions based on intraday asset returns has been applied. However, the use of a frequency‐based decomposition, which provides unique insights into the dynamics of RV ...
Adam Clements, Ajith Perera
wiley   +1 more source

Coherent Forecasting of Realized Volatility

open access: yesJournal of Forecasting, EarlyView.
ABSTRACT The QLIKE loss function is the stylized favorite of the literature on volatility forecasting when it comes to out‐of‐sample evaluation and the state of the art model for realized volatility (RV) forecasting is the HAR model, which minimizes the squared error loss for in‐sample estimation of the parameters.
Marius Puke, Karsten Schweikert
wiley   +1 more source

Intraday Functional PCA Forecasting of Cryptocurrency Returns

open access: yesJournal of Forecasting, EarlyView.
ABSTRACT We study the functional PCA (FPCA) forecasting method in application to functions of intraday returns on Bitcoin. We show that improved interval forecasts of future return functions are obtained when the conditional heteroscedasticity of return functions is taken into account.
Joann Jasiak, Cheng Zhong
wiley   +1 more source

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