Results 201 to 210 of about 687 (243)
Time‐Varying Dispersion Integer‐Valued GARCH Models
ABSTRACT We introduce a general class of INteger‐valued Generalized AutoRegressive Conditionally Heteroscedastic (INGARCH) processes by allowing simultaneously time‐varying mean and dispersion parameters. We call such models time‐varying dispersion INGARCH (tv‐DINGARCH) models.
Wagner Barreto‐Souza +3 more
wiley +1 more source
ABSTRACT Perpetual futures are contracts without expiration date in which the anchoring of the futures price to the spot price is ensured by periodic funding payments from long to short. We derive explicit expressions for the no‐arbitrage price of various perpetual contracts, including linear, inverse, and quantos futures in both discrete and ...
Damien Ackerer +2 more
wiley +1 more source
Order matters: Autocorrelation of temperature dictates extinction risk in populations with nonlinear thermal performance. [PDF]
Robey AJ, Vasseur DA.
europepmc +1 more source
Solidarity in Welfare States During and After the Global Pandemic: A Theoretical Investigation
ABSTRACT Welfare state policies are based on cultural ideals of solidarity; however, the extent of solidarity provided by welfare state institutions has varied substantially, both historically and across nations and policy fields. This article aims to answer the following questions: How did solidarity as an institutional norm in welfare states change ...
Birgit Pfau‐Effinger +1 more
wiley +1 more source
The extreme event of climate change (CC) has become more crucial, and under the current context of CC during the last decade. The cropping system (CS) approach is more appropriate than a suitable and established package of practices for individual crops, as CS interrelates with other components and resources related to sustainable farming under the ...
Sagar Maitra +9 more
wiley +1 more source
Backpropagation Network‐Based Contrastive Learning for Unsupervised Domain Adaptation
Unsupervised domain adaptation for contractive learning. ABSTRACT This study introduces a new method for domain adaptation for image classification tasks that aims to improve the model's performance on a target domain after being trained on a source domain.
Yushui Xiao, Yong Huang, Yujie Li
wiley +1 more source
Personalized Differential Privacy for Ridge Regression Under Output Perturbation
ABSTRACT The increased application of machine learning (ML) in sensitive domains requires protecting the training data through privacy frameworks, such as differential privacy (DP). Traditional DP enforces a uniform privacy level ε$$ \varepsilon $$, which bounds the maximum privacy loss that each data point in the dataset is allowed to incur.
Krishna Acharya +3 more
wiley +1 more source
Predictor-Based Output Feedback Control of Tumour Growth With Positive Input: Application to Antiangiogenic Therapy. [PDF]
Homayounzade M.
europepmc +1 more source
On MAP Estimates and Source Conditions for Drift Identification in SDEs
ABSTRACT We consider the inverse problem of identifying the drift in an stochastic differential equation (SDE) from n$n$ observations of its solution at M+1$M+1$ distinct time points. We derive a corresponding maximum a posteriori (MAP) estimate, we prove differentiability properties as well as a so‐called tangential cone condition for the forward ...
Daniel Tenbrinck +3 more
wiley +1 more source
How to Diagnose Abhorrent Science. [PDF]
Matthews LJ, Tabery J, Turkheimer E.
europepmc +1 more source

