Unsupervised Liu-type shrinkage estimators for mixture of regression models.

The mixture of probabilistic regression models is one of the most common techniques to incorporate the information of covariates into learning of the population heterogeneity. Despite its flexibility, unreliable estimates can occur due to multicollinearity among covariates. In this paper, we develop Liu-type shrinkage methods through an unsupervised learning approach to estimate the model coefficients in the presence of multicollinearity.

Hurthle Cell Adenoma with Micro-Papillary Carcinoma and Parathyroid Adenoma in a Transplant Recipient with Graft Failure: A Case Report.

Chronic immunosuppression is known to cause an increased risk of cancers in organ transplant recipients leading to the rise in morbidity and mortality among these patients. Recent studies have observed that thyroid lesions are more frequently encountered in kidney transplant recipients. A 45-year-old woman with history of chronic hypertension, kidney transplant and graft failure, was admitted for assessment for a second renal transplant and detected to have a thyroid nodule by ultrasound (US).