Results 81 to 90 of about 14,194 (175)
Financial Time Series Uncertainty: A Review of Probabilistic AI Applications
ABSTRACT Probabilistic machine learning models offer a distinct advantage over traditional deterministic approaches by quantifying both epistemic uncertainty (stemming from limited data or model knowledge) and aleatoric uncertainty (due to inherent randomness in the data), along with full distributional forecasts.
Sivert Eggen +4 more
wiley +1 more source
Testing for Unspecified Periodicities in Binary Time Series
ABSTRACT Given random variables Y1,…,Yn$$ {Y}_1,\dots, {Y}_n $$ with Yi∈{0,1}$$ {Y}_i\in \left\{0,1\right\} $$ we test the hypothesis whether the underlying success probabilities pi$$ {p}_i $$ are constant or whether they are periodic with an unspecified period length of r≥2$$ r\ge 2 $$.
Finn Schmidtke, Mathias Vetter
wiley +1 more source
A Note on Local Polynomial Regression for Time Series in Banach Spaces
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
Transference of bilinear multiplier operators on Lorentz spaces
We prove a DeLeeuw type theorem of transference of boundedness for modulation invariant multiplier operators between the groups defined by the real line and the torus.
Blasco, Oscar, Villarroya, Francisco
openaire +4 more sources
Abstract figure legend Using a multiscale computational model of left ventricular electromechanics, we investigated how sarcomere dynamics influence the end‐systolic pressure‐volume (ESPV) relationship in ejecting beats compared to isovolumetric beats.
Francesco Regazzoni +2 more
wiley +1 more source
ABSTRACT This paper presents a robust control synthesis and analysis framework for nonlinear systems with uncertain initial conditions. First, a deep learning‐based lifting approach is proposed to approximate nonlinear dynamical systems with linear parameter‐varying (LPV) state‐space models in higher‐dimensional spaces while simultaneously ...
Sourav Sinha, Mazen Farhood
wiley +1 more source
The Role of Near Solstice Solar Radiation on the Pacific Northwest Heatwave of June 2021
Abstract In late June 2021, the Pacific Northwest experienced a severe heatwave, shattering temperature records and making worldwide news. The extreme temperatures have been attributed to an anomalously strong atmospheric block, high moisture content of upstream air, and dry soils.
Shauna Ndoping +5 more
wiley +1 more source
Notes on the spaces of bilinear multipliers
A locally integrable function $m( , )$ defined on $\mathbb R^n\times \mathbb R^n$ is said to be a bilinear multiplier on $\mathbb R^n$ of type $(p_1,p_2, p_3)$ if $$ B_m(f,g)(x)=\int_{\mathbb R^n} \int_{\mathbb R^n}\hat f( )\hat g( )m( , )e^{2 i(} d d $$ defines a bounded bilinear operator from $L^{p_1}(\mathbb R^n)\times L^{p_2}(\mathbb R^n) $
openaire +2 more sources
On some bilinear Fourier multipliers with oscillating factors, I
For s>0, s≠1, bilinear Fourier multipliers of the form ei(∣∣ξ∣∣s+∣∣η∣∣s+∣∣ξ+η∣∣s)σ(ξ,η) are considered, where σ(ξ,η) belongs to the Hörmander class Sm1,0(R2n). A criterion for m to ensure the L∞×L∞→L∞, L1×L∞→L1, and L∞×L1→L1 boundedness of the corresponding bilinear operators is given.
Kato, Tomoya +3 more
openaire +3 more sources
Steady Source Gravity Wave Parameterizations and the Observed Momentum Flux Intermittency
Abstract Observational estimates of gravity wave momentum fluxes obtained from analyses of super‐pressure balloon tracks show an approximate log normal distribution in space and time. One study has suggested that a non‐orographic gravity wave parameterization with a steady source could reproduce this distribution through variability in the background ...
Robert C. King +2 more
wiley +1 more source

