Taking all matters into consideration, the poor woman of this country should be an object of compassion rather than of our contempt The stimulus given to India by British example, and capital employed for the education of Indian females, is not among the least of her beneficial operations. The time will come when their worth shall be duly appreciated by the daughters of India; and then, should ...

BACKGROUND The provision of effective health care to people with HIV and those from usually marginalised backgrounds, such as drug users and sex workers is a growing concern in Nepal, because these populations often do not seek health care, as willingly as the general population. Exploration of the factors, which hinder them seeking health care is crucial. The 'lived' experiences of the usually...

We propose a novel Bayesian registration formulation in which image location is represented as a latent random variable. Location is marginalized to determine the maximum a priori (MAP) transform between images, which results in registration that is more robust than the alternatives of omitting locality (i.e. global registration) or jointly maximizing locality and transform (i.e. iconic registr...

Missing-data strategies have been developed to improve the noise-robustness of automatic speech recognition systems in adverse acoustic conditions. This is achieved by classifying time-frequency (T-F) units into reliable and unreliable components, as indicated by a so-called binary mask. Different approaches have been proposed to handle unreliable feature components, each with distinct advantag...

The data from ground based gravitational-wave detectors such as Advanced LIGO and Virgo must be calibrated to convert the digital output of photodetectors into a relative displacement test masses in detectors, producing quantity interest for inference astrophysical gravitational wave sources. Both statistical uncertainties systematic errors are associated with calibration process, which would t...

Objective Bayesian inference for the multivariate normal distribution is illustrated, using different types of formal objective priors (Jeffreys, invariant, reference and matching), different modes of inference (Bayesian and frequentist), and different criteria involved in selecting optimal objective priors (ease of computation, frequentist performance, marginalization paradoxes, and decision-t...