Matched case-control study designs are commonly implemented in the field of public health. While matching is intended to eliminate confounding, the main potential benefit of matching in case-control studies is a gain in efficiency. Methods for analyzing matched case-control studies have focused on utilizing conditional logistic regression models that provide conditional and not causal estimates...

Although single-species deterministic difference equations have long been used in modeling the dynamics of animal populations, little attention has been paid to how stochasticity should be incorporated into these models. By deriving stochastic analogues to difference equations from first principles, we show that the form of these models depends on whether noise in the population process is demo...

We study the problem of multiple hypothesis testing for correlated clustered data. As the existing multiple comparison procedures based on maximum likelihood estimation could be computationally intensive, we propose to construct multiple comparison procedures based on composite likelihood method. The new test statistics account for the correlation structure within the clusters and are computati...

We present two detectors which allow multiuser detection without a side channel in a dynamic CDMA system where users are constantly leaving and entering the system. These detectors, the Maximum Likelihood (ML) and Generalized Maximum Likelihood (GML) detectors, optimally detect a new user given only the chip rate and the spreading factor of the new user. Each of these detectors produces maximum...

In this paper we propose an effective, robust and computationally low-cost HMM-based start-endpoint detector for speech recognisers. Our first attempts follow the classical scheme feature extractor-Viterbi classifier (used for voice activity detection), followed by a post-processing stage, but the ultimate goal we pursue is a pure HMM-based architecture capable of performing the endpointing tas...

In this paper, symbol-by-symbol maximum likelihood (ML) detection is proposed for a cooperative diffusionbased molecular communication (MC) system. In this system, a fusion center (FC) chooses the transmitter (TX) symbol that is more likely, given the likelihood of its observations from multiple receivers (RXs), where the TX sends a common information symbol to all RXs. The transmission of a se...

Most popular techniques f o r t h e narrowband direct ion of arrival ( D O A ) problem rely on a n eigendecomposi t ion ( E V D ) compu ta t i o n t o de t e rmine both the n u m b e r of s ignals and the i r respective D O A s . In t h i s paper, a n al ternat ive algori thm i s presented tha t solves both t h e D O A detect ion and e s t ima t ion problems w i thou t resort ing t o an E V D ....

Using the maximum-likelihood detector (MLD) of a soliton with timing jitter and noise, other than walk-out of the bit interval, timing jitter does not degrade the performance of MLD. When the MLD is simulated with important sampling method, even with a timing jitter standard deviation the same as the full-widthhalf-maximum (FWHM) of the soliton, the signal-to-noise (SNR) penalty is just about 0...

Multiple transmit and multiple receive antennas system, referred to Multiple-Input Multiple-Output (MIMO) system, is known to achieve large channel capacity without bandwidth expansion. In this paper, we propose a simplified ML detection scheme for MIMO system which has reduced computational complexity compared to Maximum Likelihood (ML) detection scheme. According to simulation results, the bi...

This paper considers settings where populations of units may experience recurrent events, termed failures for convenience, and where the units are subject to varying levels of usage. We provide joint models for the recurrent events and usage processes, which facilitate analysis of their relationship as well as prediction of failures. Data on usage are often incomplete and we show how to impleme...