Results 141 to 150 of about 11,041 (298)

Taylor Series Interpolation-Based Direct Digital Frequency Synthesizer with High Memory Compression Ratio

Sensors
A common challenge in direct digital frequency synthesizers (DDFSs) is obtaining high memory compression while maintaining good output signal purity.
Kalle I. Palomäki, Jari Nurmi
doaj   +1 more source

Does context matter in juvenile court intake? Findings from a rural state

Juvenile &Family Court Journal, EarlyView.
Abstract Drawing on Sampson and colleagues' racial inequality theories, we examine how referral and county characteristics affect the handling of juvenile court caseloads. Specifically, we use data from Mississippi Youth Courts for the years 2016 through 2021 to conduct two‐level multinomial regression analyses examining the role of referral‐level ...
Angela A. Robertson, Richard Dembo, Sheena K. Gardner, Stacy H. Haynes   +3 more
wiley   +1 more source

Monetary Policy When Preferences Are Quasi‐Hyperbolic

Journal of Money, Credit and Banking, EarlyView.
Abstract We study discretionary monetary policy in an economy where economic agents have quasi‐hyperbolic discounting. We demonstrate that a benevolent central bank is able to keep inflation under control for a wide range of discount factors. If the central bank, however, does not adopt the household's time preferences and tries to discourage early ...
RICHARD DENNIS, OLEG KIRSANOV
wiley   +1 more source

FX Interventions and Capital‐Constrained Banks: Evidence from USD/ILS Spot, Forward, and Option Markets

Journal of Money, Credit and Banking, EarlyView.
Abstract Using confidential daily data, we examine the Bank of Israel's foreign exchange interventions from 2013 to 2019. We find that a 1 billion U.S. dollars (USD) purchase leads to a 0.82% depreciation of the Israeli Shekel (ILS)–a strong effect compared to other studies.
MARKUS HERTRICH, DANIEL NATHAN
wiley   +1 more source

Uniform computational complexity of Taylor series [PDF]

, 1987
The close connection between an analytic real function and its Taylor series is studied in terms of computational complexity. As central result, the function is computable in polynomial time if and only if the coefficients of the series are uniformly ...
Müller, Norbert Theodor
core  

Detecting Relevant Deviations From the White Noise Assumption for Non‐Stationary Time Series

Journal of Time Series Analysis, EarlyView.
ABSTRACT We consider the problem of detecting deviations from a white noise assumption in time series. Our approach differs from the numerous methods proposed for this purpose with respect to two aspects. First, we allow for non‐stationary time series. Second, we address the problem that a white noise test is usually not performed because one believes ...
Patrick Bastian
wiley   +1 more source

Nonparametric Inference of Conditional Expectile Functions in Large‐Scale Time Series Data With Improved Efficiency

Journal of Time Series Analysis, EarlyView.
ABSTRACT Expectile is a coherent and elicitable law‐invariant risk measure widely applied in risk management. Existing methods based on iteratively reweighted least squares (IWLS) are not computationally efficient for large‐scale sample sizes. To overcome the issue, we develop a direct nonparametric conditional expectile function estimator by inverting
Feipeng Zhang, Ping‐Shou Zhong
wiley   +1 more source

Density‐Valued ARMA Models by Spline Mixtures

Journal of Time Series Analysis, EarlyView.
ABSTRACT This paper proposes a novel framework for modeling time series of probability density functions by extending autoregressive moving average (ARMA) models to density‐valued data. The method is based on a transformation approach, wherein each density function on a compact domain [0,1]d$$ {\left[0,1\right]}^d $$ is approximated by a B‐spline ...
Yasumasa Matsuda, Rei Iwafuchi
wiley   +1 more source

A Note on Local Polynomial Regression for Time Series in Banach Spaces

Journal of Time Series Analysis, EarlyView.
ABSTRACT This work extends local polynomial regression to Banach space‐valued time series for estimating smoothly varying means and their derivatives in non‐stationary data. The asymptotic properties of both the standard and bias‐reduced Jackknife estimators are analyzed under mild moment conditions, establishing their convergence rates.
Florian Heinrichs
wiley   +1 more source

Empirical‐Process Limit Theory and Filter Approximation Bounds for Score‐Driven Time Series Models

Journal of Time Series Analysis, EarlyView.
ABSTRACT This article examines the filtering and approximation‐theoretic properties of score‐driven time series models. Under specific Lipschitz‐type and tail conditions, new results are derived, leading to maximal and deviation inequalities for the filtering approximation error using empirical process theory.
Enzo D'Innocenzo
wiley   +1 more source