Exponential stability for neutral stochastic functional partial differential equations driven by Brownian motion and fractional Brownian motion. [PDF]
Zhang X, Ruan D.
europepmc +1 more source
Evolutionary and environmental drivers of dry‐season deciduousness in a legume genus
Summary Leaf deciduousness is a key drought‐avoidance strategy in tropical flora, reducing water loss during seasonal dry periods. While winter‐deciduousness in temperate regions is well‐understood, the evolutionary and environmental drivers of dry‐season deciduousness remain poorly explored.
Cibele Cássia‐Silva +7 more
wiley +1 more source
Isotropic Q-fractional Brownian motion on the sphere: regularity and fast simulation. [PDF]
Lang A, Müller B.
europepmc +1 more source
Analytical Solutions for Multi-Time Scale Fractional Stochastic Differential Equations Driven by Fractional Brownian Motion and Their Applications. [PDF]
Ding XL, Nieto JJ.
europepmc +1 more source
Summary Stomatal closure prevents significant water losses during drought events. Yet, leaves are not perfectly hermetic and dehydration ensues through residual water losses, known as minimum conductance (gmin), which is highly relevant since it informs on the water depletion dynamics under stress.
Santiago Trueba +8 more
wiley +1 more source
Generative inpainting of incomplete Euclidean distance matrices of trajectories generated by a fractional Brownian motion. [PDF]
Lobashev A, Guskov D, Polovnikov K.
europepmc +1 more source
Bulk leaf capacitance (Cbulk) in relation to bundle sheath area (BSA) and leaf dimensions in Alloteropsis semialata plants differing in photosynthetic type (C3, C3–C4 or C4) and ploidy level (2x, 6x or 12x). Summary The evolution of C4 photosynthesis requires biochemical innovations to be coordinated with anatomical modifications.
Yanmin Zhou +3 more
wiley +1 more source
Probability of entering an orthant by correlated fractional Brownian motion with drift: exact asymptotics. [PDF]
Dȩbicki K, Ji L, Novikov S.
europepmc +1 more source
Cointegration in a MIDAS Regression
ABSTRACT Mixed data sampling (MIDAS) cointegration models are used to analyse variables observed at different frequencies. In this paper, we start from an assumed autoregressive distributed lag (ADL) model for high‐frequency observations, and derive the resulting representation when the dependent variable is only observed at a lower frequency.
H. Peter Boswijk, Philip Hans Franses
wiley +1 more source
Monitoring Ongoing Clinical Trials under Fractional Brownian Motion with Drift. [PDF]
Zhang P +4 more
europepmc +1 more source

