This chapter1 concerns the relation between statistics and inductive logic. I start by describing induction in formal terms, and I introduce a general notion of probabilistic inductive inference. This provides a setting in which statistical procedures and inductive logics can be cap- tured. Speciacally, I discuss three statistical procedures (hypotheses testing, parameter estimation, and Bayesian statistics) and I show to what extend they can be captured by certain inductive logics. I end with some suggestions on how inductiv
We present a model of inductive inference that includes, as special cases, Bayesian reasoning, case-...
We propose an intersubjective epistemic approach to foundations of probability theory and statistica...
In this thesis the attention is restricted to inductive reasoning using a mathematical probability m...
This chapter1 concerns the relation between statistics and inductive logic. I start by describing in...
This chapter1 concerns the relation between statistics and inductive logic. I start by describing in...
This chapter1 concerns inductive logic in relation to statistics. I start by introducing a general n...
Below we will consider the relations between inductive logic and statistics. More specifically, we w...
AbstractInductive logic generalizes the idea of logical entailment and provides standards for the ev...
Abstract. Probabilistic inductive logic programming aka. statistical relational learning addresses o...
The purpose of this work. This book presents a new approach to the old problem of induction and prob...
Inductive probabilistic reasoning is understood as the application of inference patterns that use st...
Abstract. Probabilistic inductive logic programming, sometimes also called statistical relational le...
This chapter reviews research on the learning of statistical inference, focusing in particular on re...
The idea of inductive logic as providing a gene-ral, quantitative way of evaluating arguments is a r...
Abstract Recent results in induction theory are reviewed that demonstrate the general adequacy of th...
We present a model of inductive inference that includes, as special cases, Bayesian reasoning, case-...
We propose an intersubjective epistemic approach to foundations of probability theory and statistica...
In this thesis the attention is restricted to inductive reasoning using a mathematical probability m...
This chapter1 concerns the relation between statistics and inductive logic. I start by describing in...
This chapter1 concerns the relation between statistics and inductive logic. I start by describing in...
This chapter1 concerns inductive logic in relation to statistics. I start by introducing a general n...
Below we will consider the relations between inductive logic and statistics. More specifically, we w...
AbstractInductive logic generalizes the idea of logical entailment and provides standards for the ev...
Abstract. Probabilistic inductive logic programming aka. statistical relational learning addresses o...
The purpose of this work. This book presents a new approach to the old problem of induction and prob...
Inductive probabilistic reasoning is understood as the application of inference patterns that use st...
Abstract. Probabilistic inductive logic programming, sometimes also called statistical relational le...
This chapter reviews research on the learning of statistical inference, focusing in particular on re...
The idea of inductive logic as providing a gene-ral, quantitative way of evaluating arguments is a r...
Abstract Recent results in induction theory are reviewed that demonstrate the general adequacy of th...
We present a model of inductive inference that includes, as special cases, Bayesian reasoning, case-...
We propose an intersubjective epistemic approach to foundations of probability theory and statistica...
In this thesis the attention is restricted to inductive reasoning using a mathematical probability m...