This paper proposes full-Bayes priors for time-varying parameter vector autoregressions (TVP-VARs) which are more robust and objective than existing choices proposed in the literature. We formulate the priors in a way that they allow for straightforward posterior computation, they require minimal input by the user, and they result in shrinkage posterior representations, thus, making them approp...

BACKGROUND Cardiac valve procedures are commonly performed concurrently during implantation of left ventricular assist devices, but the added procedural risk has not been studied in detail. METHODS AND RESULTS Data from patients receiving the HeartWare Ventricular Assist Device in the ADVANCE bridge to transplant (BTT) trial and continued access protocol were reviewed. Of 382 consecutive pati...

At the present time, the function of the TTM remains unknown. One of the main hypotheses accredited in the literature interprets the TTM, together with the Tensor Veli Palatini (TVP), as part of the same anatomic unit [1]. There is an evident phylogenetic connection with respect to the innervation, irrigation and formation of the structures of the throat and ear, including the Eustachian tube. ...

We estimate a large Bayesian time-varying parameter vector autoregressive (TVP-VAR) model of daily stock return volatilities for 35 U.S. and European financial institutions. Based on that model we extract a connectedness index in the spirit of Diebold and Yilmaz (2014) (DYCI). We show that the connectedness index from the TVP-VAR model captures abrupt turning points better than the one obtained...

OBJECTIVE The purpose of this work is to analyze the clinical results of treating severe mitral stenosis (MS) with mild to moderate functional tricuspid regurgitation (FTR) with mitral valve replacement (MVR) alone or together with two different methods of tricuspid valvuloplasty (TVP). PATIENTS AND METHODS We split 132 patients into three groups: simple MVR with 47 cases (control group), MVR...

BACKGROUND AND PURPOSE Adjacent VCF frequently occurs after percutaneous vertebroplasty. Our aim was to evaluate PrVP in the prevention of PVNO-adjacent VCF. MATERIALS AND METHODS Radiographs of 68 patients who initially presented with a single-level unhealed fracture and underwent vertebroplasty were retrospectively reviewed for the occurrence of PVNO fracture. Patients in the nonpreventive ...

Principal component analysis (PCA) is an unsupervised method for learning low-dimensional features with orthogonal projections. Multilinear PCA methods extend PCA to deal with multidimensional data (tensors) directly via tensor-to-tensor projection or tensor-to-vector projection (TVP). However, under the TVP setting, it is difficult to develop an effective multilinear PCA method with the orthog...

Proteinuria is a major determinant of adverse renal outcome, and its reduction slows renal progression in glomerular diseases. However, the optimal target of proteinuria in glomerular diseases is unclear, and discrepancies in the definition of proteinuria produce ambiguous findings. Here we investigated the optimal target of proteinuria by using different definitions of proteinuria. We analyzed...

This paper develops tests for overidentifying restrictions in Factor-Augmented Vector Autoregressive (FAVAR) models. The FAVAR combines a high-dimensional factor model and a conventional VAR for the latent factors. The identification of structural shocks in FAVAR can lead to restrictions on the factor loadings of many variables, so it can involve infinitely many identifying restrictions as the ...

To examine the hormonal effects of isoflavones, of which soyabean is a rich source, fifteen healthy nonvegetarian premenopausal women were studied over 9 months. They lived in a metabolic suite for between 4 and 6 months where their diet and activity levels were kept constant and their hormonal status was measured over two or three menstrual cycles. During one (control) menstrual cycle a normal...