Time varying parameter (TVP) models have enjoyed an increasing popularity in empirical macroeconomics. However, TVP models are parameter-rich and risk over-…tting unless the dimension of the model is small. Motivated by this worry, this paper proposes several Time Varying dimension (TVD) models where the dimension of the model can change over time, allowing for the model to automatically choose...

This paper argues that elliptical VPs do not necessarily present cases of VP ellipsis. Certain relative clauses that contain elliptical VPs are analysed as instances of transitive verb phrase ellipsis. A storing account of ellipsis resolution is given. Resolution of TVP ellipsis is achieved by resolving a binary relation that derives from an antecedent TVP. This avoids the problem of antecedent...

A patient presented for an elective transcatheter aortic valve replacement with temporary transvenous pacing (TVP) wires placement per protocol. On postoperative day 1, the patient remained stable, so the wires were subsequently removed, after which the patient acutely decompensated, with transthoracic echocardiography revealing pericardial effusion. Emergent pericardiocentesis was performed, a...

Carbon dioxide (CO(2)) is the most important greenhouse gas (GHG) in the atmosphere and is the greatest contributor to global warming. CO(2) concentration data are usually obtained from ground observation stations or from a small number of satellites. Because of the limited number of observations and the short time series of satellite data, it is difficult to monitor CO(2) concentrations on reg...

We present algorithms for reducing large circuits, described at SPICE-level detail, to much smaller ones with similar input–output behavior. A key feature of our method, called timevarying Padé (TVP), is that it is capable of reducing time-varying linear systems. This enables it to capture frequency-translation and sampling behavior, important in communication subsystems such as mixers and swit...

With the help of time-varying parameter vector autoregression with stochastic volatility (TVP-SV-VAR) model and Bayesian dynamic conditional correlational autoregressive heteroscedasticity (Bayesian DCC-GARCH) model, this study analyzes interaction mechanism correlation among financial leverage, house price, consumer expenditure (the survey data are collected from China’s National Bureau Statis...

Our research contributes a new point of view on China’s rare earth dynamic risk spillover measurement; this was performed by combining complex network and multivariate nonlinear Granger causality to construct the time-varying connectedness analyze formation mechanism using impulse response. First, our empirical found that for characteristics market, due instability, uncertainty, geopolitical de...

With growing uncertainty about the evolution of global landscape, it is great practical significance to explore nonlinear dynamic adjustment relationship among world oil market, bulk shipping stock and economic growth in China. This paper applied TVP-SV-VAR model selected quarterly data from 1998 2020 dynamics. The results indicated that impact intensity BDI on China’s economy had a “positive” ...

Transmissible viral proventriculitis (TVP) was experimentally reproduced in 2-wk-old specific-pathogen-free chickens and commercial broiler chickens by eyedrop inoculation of adenovirus-like virus (AdLV), isolate R1 1/3. No clinical signs and no weight gain depression were observed in chickens inoculated with AdLV (R11/3); however, gross and microscopic lesions characteristic of TVP were presen...