Results 181 to 190 of about 4,529 (276)

When in Doubt, Tax More Progressively? Uncertainty and Progressive Income Taxation

International Economic Review, EarlyView.
ABSTRACT We study the optimal income tax problem under parameter uncertainty about household preferences and wage dynamics. We derive conditions characterizing how such uncertainty affects optimal tax policy. To quantify the effect, we estimate a life‐cycle model using US data and a Bayesian approach.
Minsu Chang, Chunzan Wu
wiley   +1 more source

On Spatial Point Processes With Composition‐Valued Marks

International Statistical Review, EarlyView.
Summary Methods for marked spatial point processes with scalar marks have seen extensive development in recent years. While the impressive progress in data collection and storage capacities has yielded an immense increase in spatial point process data with highly challenging non‐scalar marks, methods for their analysis are not equally well developed ...
Matthias Eckardt, Mari Myllymäki, Sonja Greven   +2 more
wiley   +1 more source

Joint MVMD-based optimal feature selection and FW-LS-TWSVM for motor imagery recognition. [PDF]

Sci Rep
Zhi J, Zhang Q, Li Y, Zhang J, Liu P, Nan J, Li Y, Li D.   +7 more
europepmc   +1 more source

A Non‐Parametric Framework for Correlation Functions on Product Metric Spaces

International Statistical Review, EarlyView.
Summary We propose a non‐parametric framework for analysing data defined over products of metric spaces, a versatile class encountered in various fields. This framework accommodates non‐stationarity and seasonality and is applicable to both local and global domains, such as the Earth's surface, as well as domains evolving over linear time or time ...
Pier Giovanni Bissiri, Bernardo Nipoti, Emilio Porcu, Philip White   +3 more
wiley   +1 more source

Quadratic decomposition based TCN-Transformer for time series prediction of micro-seismic signals in coal mines. [PDF]

Sci Rep
Gan Y, Huang C, Zhang Z, Lu W, Gao B, Cai X, Xu T.   +6 more
europepmc   +1 more source

A note on generalised information criteria for structured sparse models

International Statistical Review, EarlyView.
Summary We propose a generalised information criteria ( gic) that accounts for sparsity pattern in the model. We obtain both asymptotic and nonasymptotic results for model selection. Moreover, we show that the gic is useful for selecting the regularisation parameter in regularised m$$ m $$ estimation in high‐dimensional scenarios.
Eduardo Fonseca Mendes, Gabriel Jardim Pereira Pinto   +1 more
wiley   +1 more source

A Multivariate Blaschke-Based Mode Decomposition Approach for Gear Fault Diagnosis. [PDF]

Sensors (Basel)
Zheng X, Cheng Z, Cheng J, Yang Y.
europepmc   +1 more source

Regularization Approaches for High‐Dimensional Cox Models: A Case Study in Triple‐Negative Breast Cancer

International Statistical Review, EarlyView.
Summary In high‐dimensional survival analysis, effective variable selection is crucial both for model interpretation and predictive performance. This paper investigates Cox regression with lasso and adaptive lasso penalties in genomic datasets where covariates far outnumber observations.
Pilar González‐Barquero, Rosa E. Lillo, Álvaro Méndez‐Civieta   +2 more
wiley   +1 more source

Fusing EEG Features Extracted by Microstate Analysis and Empirical Mode Decomposition for Diagnosis of Schizophrenia. [PDF]

Sensors (Basel)
Song S, Du L, Yin J, Ling S.
europepmc   +1 more source

Firm‐Level Political Risk and Earnings Manipulation

Journal of Business Finance &Accounting, EarlyView.
ABSTRACT Using recently developed proxies for firm‐level political risk and earnings manipulation, we test the limited attention theory. Contrary to Hirshleifer and Teoh's core prediction that investor attention is associated with less managerial manipulation, we find that firm‐level political risk, serving as a proxy for investor attention, is ...
Hui L. James, Thanh Ngo, Jurica Susnjara
wiley   +1 more source