scientific article; zbMATH DE number 3309776

From MaRDI portal

zbMath0194.51101MaRDI QIDQ5590550

Marius Iosifescu, Radu Theodorescu

Publication date: 1969


Title: zbMATH Open Web Interface contents unavailable due to conflicting licenses.



Related Items

[https://portal.mardi4nfdi.de/wiki/Publication:5598025 Syst�mes al�atoires g�n�ralis�s � liaisons compl�tes], Almost sure convergence for weighted sums of φ-mixing random variables with applications, On Strassen's version of the loglog law for some classes of dependent random variables, On finite tail ?-algebras, An invariance principle for mixing sequences of random variables, On denumerable chains of infinite order, An invariance principle for dependent random variables, An invariance principle for dependent random variables, Relative stability for strictly stationary sequences, Law of large numbers for random dynamical systems, A criterion for tightness for a class of dependent random variables, Invariance principles under weak dependence, Rates of convergence for classes of functions: The non-i.i.d. case, On some bidimensional denumerable chains of infinite order, Unnamed Item, Premium adjustment by generalized adaptive exponential smoothing, Local minima escape transients by stochastic gradient descent algorithms in blind adaptive equalizers, Strong law of large numbers for continuous random dynamical systems, Limit theorems for sums of partial quotients of continued fractions, Recurrence conditions for Markov decision processes with Borel state space: A survey, Remarks on the ergodicity of simulated annealing algorithms on a graph, On the application of dependence with complete connections to the metrical theory of G-continued fractions. Dependence with complete connections, Khintchine's constant for Lüroth representation, Unnamed Item, The central limit theorem for random dynamical systems, On probabilistic analog automata, Limit theorems for sub-sums of partial quotients of continued fractions, PAC learning in non-linear FIR models, A dependence with complete connections approach to generalized Rényi continued fractions, Convergence rates of the strong law for stationary mixing sequences, Über die Oszillationshalbnorm und den numerischen Radius von zu Übergangswahrscheinlichkeiten gehörenden Operatoren. Anwendungen auf MARKOVketten mit beliebigen Zustandsräumen, Asymptotics of the signed-rank estimator under dependent observations, On the law of large numbers for stationary sequences, Chover-type laws of the \(k\)-iterated logarithm for weighted sums of strongly mixing sequences, Central limit theorem for triangular arrays of non-homogeneous Markov chains, On the Product of Random Variables and Moments of Sums Under Dependence, Categorical time semes with a recursive scheme and with covariates, A moment maximal inequality for dependent random variables, On product nonlinearities in stochastic differential equations, Marcinkiewicz laws with infinite moments, On the strong law of large numbers for \(\phi\)-mixing and \(\rho\)-mixing random variables, On Dobrushin's inequality, On Edgeworth expansions for dependency-neighborhoods chain structures and Stein's method, [https://portal.mardi4nfdi.de/wiki/Publication:4048444 Une formulation, et la finitude, du test s�quentiel du rapport des vraisemblances dans le cas Markovien � temps continu], On a general class of absorbing-barrier learning algorithms, Theory construction in psychology: The interpretation and integration of psychological data, Remark on the rate of convergence in the random central limit theorem for mixing sequences, A Gauss-Kuzmin-type problem for a family of continued fraction expansions, Lumpability in compartmental models, On the rate of convergence in the central limit theorem for Markov-chains, Variable length Markov chains, A survey on computer generation of some classes of stochastic processes, Vertex-reinforced random walk, A Marcinkiewicz-Zygmund type strong law for weighted sums of \(\phi \)-mixing random variables and its applications, Iterated function systems arising from recursive estimation problems, On \(U\)-statistics and von Mises statistics for a special class of Markov chains, On the central limit theorem for weakly dependent sequences with a decomposed strong mixing coefficient, Limit theorems for J − X processes with a general state space, Weakly dependent chains with infinite memory, Path properties of successive sample minima from stationary processes, Unnamed Item, The size of the averages of strongly mixing random variables, An ergodic decomposition defined by transition probabilities, Dependence with complete connections and the Gauss-Kuzmin theorem for \(N\)-continued fractions, A Gaussian Measure for Certain Continued Fractions, Continuous random dynamical systems, Asymptotic analysis of transport processes, Unique Bernoulli \(g\)-measures, Bayesian games as stochastic processes, Condiciones de martingala sobre un proceso de aprendizaje tipo beta con dos operadores y reforzamiento no contingente simple. 2.—Caso general, Functions of event variables of a random system with complete connections, Strong law of large numbers and complete convergence for sequences of φ-mixing random variables, Sequential games as stochastic processes, A simple proof of Kaijser's unique ergodicity result for hidden Markov \(\alpha\)-chains, Testing for (in)finite moments, On the uniform ergodicity of Markov processes of order 2, An invariance principle for lattices of dependent random variables, Analysis of an identification algorithm arising in the adaptive estimation of Markov chains, On Ibragimov-Iosifescu conjecture for \(\phi\)-mixing sequences, Generalization of an approximation inequality, Bootstrap in Markov-sequences based on estimates of transition density, A limit theorem for stationary \(\varphi{}\)-mixing sequences, Laws of large numbers for the annealing algorithm, General control systems, An optimum plan of reliability control, Optimal properties of stimulus-response learning models., Learning dynamical systems in a stationary environment, Large-deviation theorems for sums of random variables connected in a Markov chain. I, Vertex-reinforced random walk on \(\mathbb Z\) has finite range, Stationary probability distributions for multiresponse linear learning models, epsilon-optimality of a general class of learning algorithms, Limit Theorems and the Law of Large Numbers for Martingale-like Sequences, Criteria for Borel-Cantelli lemmas with applications to Markov chains and dynamical systems, On Kolmogorov’s converse inequality for dependent random variables, Probabilistic behaviour of some lacunary series, Solidarity properties and a Doeblin decomposition for a class of non- Markovian stochastic processes, Time to absorption in discounted reinforcement models., A mathematical framework for learning and adaption: (Generalized) random systems with complete connections, The use of learning algorithms in telephone traffic routing - a methodology, Some asymptotic results on digits of the nearest integer continued fraction, A limitation of Markov representation for stationary processes, Limit theorems for mixing sequences without rate assumptions, Limit theorems for weakly independent random variables in certain Banach spaces, FIR Volterra kernel neural models and PAC learning, A stochastic approximation from dependent observations, On convergence of ?-mixing sequences of random variables, Adaptive RLS algorithms under stochastic excitation. - Strong consistency analysis, The invariance principle for ϕ-mixing sequences, On a theorem of Karlin