26 research outputs found
Spring wheat yield prediction with empirical regression models using different biomass parameters
Transition to smart agriculture demands tools for non-invasive monitoring of cultivated plants biomass. One of the most widespread and informative biomass indicators is leaf area index (LAI). LICOR 2200C has become de facto standard in modern ecological research for non-invasive LAI estimation. In this paper, on the example of spring wheat crops of the RSAU-MTAA experimental field, the efficiency of yield and biomass parameters prediction using data from AccuPAR LP-80 and LI-COR LAI 2200C was compared. LAI data from both devices obtained at different phenological phases of spring wheat were used as predictor for spring wheat yield models. Comparing the generated models show superiority of AccuPAR LP-80 in yield prediction while LI-COR LAI 2200C shown better result in overall biomass prediction
Martingale decompositions in UMD Banach spaces
In this talk we present the Meyer-Yoeurp decomposition for UMD Banach space-valued martingales. Namely, we prove that is a UMD Banach space if and only if for any fixed , any -valued martingale has a unique decomposition such that is a purely discontinuous martingale, is a continuous martingale, , and . An analogous assertion is shown for the Yoeurp decomposition of a purely discontinuous martingale into a sum of a quasi-left continuous martingale and a martingale with accessible jumps.
Meyer-Yoeurp and Yoeurp decompositions play a significant role in stochastic integration theory for cà dlà g martingales, For instance one can show sharp estimates for an -norm of an -valued stochastic integral with respect to a general local martingale. An important tool for obtaining these estimates are the recently proven Burkholder-Rosenthal-type inequalities for discrete -valued martingales.
This talk is partially based on joint work with Sjoerd Dirksen (RWTH Aachen University).Non UBCUnreviewedAuthor affiliation: Delft University of TechnologyGraduat