This paper estimates a 7 variable TVP-VAR on US data using kernel methods. We identify monetary policy shocks using sign restrictions for each period in our sample. We then fit the SmetsWouters (2007) model to these impulse responses, tracing out evolutions in the structural DSGE parameters over time. Parameters defining nominal rigidities move a lot. Some real side ones move a lot (investment ...

Time-varying parameter VARs with stochastic volatility are routinely used for structural analysis and forecasting in settings involving a few endogenous variables. Applying these models to high-dimensional datasets has proved be challenging due intensive computations over-parameterization concerns. We develop an efficient Bayesian sparsification method class of we call hybrid TVP-VARs—VARs time...

Highlights Ultra-fast tomographic volumetric printing of complex optics. Enhancing the surface quality TVP-printed optics by coordinating a meniscus equilibrium. Facile design and rapid prototyping spatially lens with enhanced performance.

Integrated Center for Structure-Function Innovation, Department of Molecular Physiology and Biological Physics, University of Virginia, Charlottesville, VA 22908-0736; Department of Chemistry, Indiana University, Bloomington, Indiana 47405-7102; Physical Biosciences Division, Lawrence Berkeley National Laboratory, MS4R0230, Berkeley, CA 94720; Physics Division, MS D454, Los Alamos National Labo...

Harmful algal blooms (HABs) have a severe impact on human health, aquatic ecosystems, and the economy. There is still lack of effective means to control blooms. Herein, TVP-A, positively charged photosensitizer with aggregation-induced emission (AIE) characteristics introduced as super-efficient, cost-effective, eco-friendly agent for governance HABs. TVP-A efficiently harvests white light gene...