@conference {
	title = {Sequential Testing on the Rate of a Counting Process},
	author = {Baras, John S., MacEnany, David C.},
	year = {1987},
	month = {12/1987},
	abstract = {In this paper, optimality results are given for the problems of Bayesian and Wald sequential (simple, binary) hypothesis testing on the rate of a counting process. An explicit formula is given for the Bayes risk, and the system to solve for the exact optimal thresholds is also given.},
	address = {Los Angeles, California},
	booktitle = {The 26th IEEE Conference on Decision and Control},
	pages = {pp. 1592-1593}
}
@conference {
	title = {Order Determination for Functions of Finite Markov Chains},
	author = {Finesso, Lorenzo., Baras, John S.},
	year = {1987},
	month = {12/1987},
	address = {Los Angeles, California},
	booktitle = {The 26th IEEE Conference on Decision and Control},
	pages = {pp. 1881-1882}
}
@conference {
	title = {Nonlinear Filtering and Large Deviations},
	author = {James, Matthew R., Baras, John S.},
	year = {1987},
	month = {12/1987},
	abstract = {We consider the nonlinear filtering problem dx~= f(x)dt + (~∈~)dw, dy = h(x)dt + (~∈~)^1/2 dv, and obtain lim ~∈~-\&gt;0 log q^t (x,t) = -W (x, t) for unnormalised conditional densities q{\textquoteright}(x, t) using PDE methods. Here, W(x,t) is the value function for a deterministic optimal control problem arising in Mortensen{\textquoteright}s deterministic estimation, and is the unique viscosity solution of a Hamilton-Jacobi-Bellman equation.},
	address = {Los Angeles, California},
	booktitle = {The 26th IEEE Conference on Decision and Control},
	pages = {pp. 1588-1589}
}
@conference {
	title = {Real Time Sequential Detection for Diffusion Signals},
	author = {Baras, John S., LaVigna, Anthony.},
	year = {1987},
	month = {12/1987},
	abstract = {We present the sequential detection problem for diffusion type signals in both the fixed probability of error and the Bayesian formulations. The optimal strategy in both cases is a threshold policy with explicit{\l}y computable thresholds. We provide numerical schemes for approximating the relevant likelihood ratio and~provide an architecture for real-time signal processing.},
	address = {Los Angeles, California},
	booktitle = {The 26th IEEE Conference on Decision and Control},
	pages = {pp. 1153-1157}
}
@conference {
	title = {Distributed Asynchronous Detection: General Models},
	author = {Baras, John S.},
	year = {1987},
	month = {12/1987},
	abstract = {We introduce axiomatically, new non-commutative probability models for the data in distributed detection asynchronous schemes. We completely characterize mathematically these models and their representation. They represent extensions of models for communicating asynchronous processes. We provide a general theorem characterizing the representation of data collected by a distributed asynchronous detection scheme. We discuss how this~model can be used to obtain performance bounds.},
	address = {Los Angeles, California},
	booktitle = {The 26th IEEE Conference on Decision and Control},
	pages = {pp. 1832-1835}
}
