Results 71 to 80 of about 2,352 (209)
Approximating Polynomials for Functions of Weighted Smirnov-Orlicz Spaces
Journal of Function Spaces and Applications, 2012 Let 𝐺0 and 𝐺∞ be, respectively, bounded and unbounded components of a plane curve Γ satisfying Dini's smoothness condition. In addition to partial sum of Faber series of 𝑓 belonging to weighted Smirnov-Orlicz space 𝐸𝑀,𝜔 (𝐺0), we prove that interpolating ...
Ramazan Akgün
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Inference on state occupancy in covariate‐driven hidden Markov models
Methods in Ecology and Evolution, EarlyView.Abstract Hidden Markov models (HMMs) are natural and popular tools for analysing animal behaviour based on movement, acceleration and other sensor data. In particular, these models make it possible to infer how the animal's decision‐making process interacts with internal and external drivers by relating the probabilities of switching between distinct ...
Maya Natascha Vienken +2 more
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A Study of the stability for one of non-linear autoregressive models with trigonometric terms with application [PDF]
المجلة العراقية للعلوم الاحصائية, 2011 In this paper we study the stability of one of non-linear autoregressive models with trigonometric terms , by using the linear approximation technique .
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Trigonometric Approximation in Reflexive Orlicz Spaces
Analysis in Theory and Applications, 2011 Summary: The Lipschitz classes Lip\((\alpha,M ...
openaire +3 more sources
Interpolated Adaptive Linear Reduced Order Modeling for Deformation Dynamics
Computer Graphics Forum, EarlyView.Abstract Linear reduced‐order modeling (ROM) is widely used for efficient simulation of deformation dynamics, but its accuracy is often limited by the fixed linearization of the reduced mapping. We propose a new adaptive strategy for linear ROM that allows the reduced mapping to vary dynamically in response to the evolving deformation state ...
Y. Tao, M. Chiaramonte, P. Fernandez
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SPARSE APPROXIMATION AND RECOVERY BY GREEDY ALGORITHMS IN BANACH SPACES
Forum of Mathematics, Sigma, 2014 We study sparse approximation by greedy algorithms. We prove the Lebesgue-type inequalities for the weak Chebyshev greedy algorithm (WCGA), a generalization of the weak orthogonal matching pursuit to the case of a Banach space.
V. N. TEMLYAKOV
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Goodness‐of‐Fit Tests for Positive Quadrant Dependence
International Statistical Review, EarlyView.Summary When two random variables are positive quadrant dependent (PQD), they are more likely to assume small (or large) values simultaneously compared with when the random variables are independent. This dependence structure is of interest in many areas, including finance, actuarial science and engineering.
Chuan‐Fa Tang, Joshua M. Tebbs
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Interest Rate Pegs and the Reversal Puzzle: On the Role of Anticipation
Journal of Money, Credit and Banking, EarlyView.Abstract We revisit the reversal puzzle: a counterintuitive contraction of inflation in response to an interest rate peg. We show that its occurrence is intimately related to the degree of agents' anticipation. If agents perfectly anticipate the peg, reversals occur depending on the duration of the peg.
RAFAEL GERKE +2 more
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Rational approximation to trigonometric operators
BIT Numerical Mathematics, 2008 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Grimm, V., Hochbruck, Marlis
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The Accuracy Smoothness Dilemma in Prediction: A Novel Multivariate M‐SSA Forecast Approach
Journal of Time Series Analysis, EarlyView.ABSTRACT Forecasting presents a complex estimation challenge, as it involves balancing multiple, often conflicting, priorities and objectives. Conventional forecast optimization methods typically emphasize a single metric, such as minimizing the mean squared error (MSE), which may neglect other crucial aspects of predictive performance. To address this
Marc Wildi
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