
Wetenschapsfilosofie als grensgangerAlgemeen Nederlands Tijdschrift voor Wijsbegeerte 108 (4): 509513. 2016.

12An Interpretation of Weights in Linear Opinion PoolingEpisteme 115. forthcoming.This paper explores the fact that linear opinion pooling can be represented as a Bayesian update on the opinions of others. It uses this fact to propose a new interpretation of the pooling weights. Relative to certain modelling assumptions the weights can be equated with the socalled truthconduciveness known from the context of Condorcet's jury theorem. This suggests a novel way to elicit the weights.

21Changing The Definition of The Kilogram: Insights For Psychiatric Disease ClassificationPhilosophy, Psychiatry, and Psychology 26 (4): 97108. 2019.In psychiatry, many scientists desire to move from a classification system based on symptoms toward a system based on biological causes. The idea is that psychiatric diseases should be redefined such that each disease would be associated with specific biological causes. This desire is intelligible because causal disease models often facilitate understanding and identification of new ways to intervene in disease processes. In its attempt to move from syndromal to specific etiological definitions,…Read more

123Epistemic Diversity and Editor Decisions: A Statistical Matthew EffectPhilosophers' Imprint 19. 2019.This paper offers a new angle on the common idea that the process of science does not support epistemic diversity. Under minimal assumptions on the nature of journal editing, we prove that editorial procedures, even when impartial in themselves, disadvantage less prominent research programs. This purely statistical bias in article selection further skews existing differences in the success rate and hence attractiveness of research programs, and exacerbates the reputation difference between the p…Read more

12EPSA15 Selected Papers: The 5th conference of the European Philosophy of Science Association in Düsseldorf (edited book)Springer. 2017.This edited collection showcases some of the best recent research in the philosophy of science. It comprises of thematically arranged papers presented at the 5th conference of the European Philosophy of Science Association, covering a broad variety of topics within general philosophy of science, and philosophical issues pertaining to specific sciences. The collection will appeal to researchers with an interest in the philosophical underpinnings of their own discipline, and to philosophers who wi…Read more

13What's in a model? Network models as tools instead of representations of what psychiatric disorders really areBehavioral and Brain Sciences 42. 2019.

Foundations of the Formal Sciences Vi: Probabilistic Reasoning and Reasoning With Probabilities. Studies in Logic (edited book)College Publication. 2008.

18Inherent Complexity: A Problem for Statistical Model EvaluationPhilosophy of Science 84 (5): 797809. 2017.This article investigates a problem for statistical model evaluation, in particular for curve fitting: by employing a different family of curves we can fit any scatter plot almost perfectly at apparently minor cost in terms of model complexity. The problem is resolved by an appeal to prior probabilities. This leads to some general lessons about how to approach model evaluation.

26All agreed: Aumann meets DeGrootTheory and Decision 85 (1): 4160. 2018.We represent consensus formation processes based on iterated opinion pooling as a dynamic approach to common knowledge of posteriors :1236–1239, 1976; Geanakoplos and Polemarchakis in J Econ Theory 28:192–200, 1982). We thus provide a concrete and plausible Bayesian rationalization of consensus through iterated pooling. The link clarifies the conditions under which iterated pooling can be rationalized from a Bayesian perspective, and offers an understanding of iterated pooling in terms of higher…Read more

16Moving Beyond Traditional Null Hypothesis Testing: Evaluating Expectations DirectlyFrontiers in Psychology 2. 2011.

Inductive Logic and StatisticsIn Dov M. Gabbay, Stephan Hartmann & John Woods (eds.), Handbook of the History of Logic: Inductive Logic, Elsevier: Amsterdam. pp. 625650. 2009.

218Analogical Predictions for Explicit SimilarityErkenntnis 64 (2). 2006.This paper concerns exchangeable analogical predictions based on similarity relations between predicates, and deals with a restricted class of such relations. It describes a system of Carnapian λγ rules on underlying predicate families to model the analogical predictions for this restricted class. Instead of the usual axiomatic definition, the system is characterized with a Bayesian model that employs certain statistical hypotheses. Finally the paper argues that the Bayesian model can be general…Read more

60This 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 s…Read more

43Psychiatric comorbidity: fact or artifact?Theoretical Medicine and Bioethics 36 (1): 4160. 2015.The frequent occurrence of comorbidity has brought about an extensive theoretical debate in psychiatry. Why are the rates of psychiatric comorbidity so high and what are their implications for the ontological and epistemological status of comorbid psychiatric diseases? Current explanations focus either on classification choices or on causal ties between disorders. Based on empirical and philosophical arguments, we propose a conventionalist interpretation of psychiatric comorbidity instead. We ar…Read more

636In this paper I discuss probabilistic models of experimental intervention, and I show that such models elucidate the intuition that observations during intervention are more informative than observations per se. Because of this success, it seems attractive to also cast other problems addressed by the philosophy of experimentation in terms of such probabilistic models. However, a critical examination of the models reveals that some of the aspects of experimentation are covered up rather than reso…Read more

496This paper investigates the viability of the Bayesian model of belief change. Van Benthem (2003) has shown that a particular kind of information change typical for dynamic epistemic logic cannot be modelled by Bayesian conditioning. I argue that the problems described by van Benthem come about because the information change alters the semantics in which the change is supposed to be modelled by conditioning: it induces a shift in meanings. I then show that meaning shifts can be modelled in terms …Read more

70Conditioning and Interpretation ShiftsStudia Logica 100 (3): 583606. 2012.This paper develops a probabilistic model of belief change under interpretation shifts, in the context of a problem case from dynamic epistemic logic. Van Benthem [4] has shown that a particular kind of belief change, typical for dynamic epistemic logic, cannot be modelled by standard Bayesian conditioning. I argue that the problems described by van Benthem come about because the belief change alters the semantics in which the change is supposed to be modelled: the new information induces a shif…Read more

130New theory about old evidence. A framework for openminded BayesianismSynthese 193 (4). 2016.We present a conservative extension of a Bayesian account of confirmation that can deal with the problem of old evidence and new theories. Socalled openminded Bayesianism challenges the assumption—implicit in standard Bayesianism—that the correct empirical hypothesis is among the ones currently under consideration. It requires the inclusion of a catchall hypothesis, which is characterized by means of sets of probability assignments. Upon the introduction of a new theory, the former catchall …Read more

Interventies en conceptuele veranderingenAlgemeen Nederlands Tijdschrift voor Wijsbegeerte 100 (2): 121128. 2008.

43Radical Uncertainty: Beyond Probabilistic Models of BeliefErkenntnis 79 (6): 12211223. 2014.Over the past decades or so the probabilistic model of rational belief has enjoyed increasing interest from researchers in epistemology and the philosophy of science. Of course, such probabilistic models were used for much longer in economics, in game theory, and in other disciplines concerned with decision making. Moreover, Carnap and coworkers used probability theory to explicate philosophical notions of confirmation and induction, thereby targeting epistemic rather than decisiontheoretic as…Read more

27Enantiomorphy and timeInternational Studies in the Philosophy of Science 19 (2). 2005.This article argues that timeasymmetric processes in spacetime are enantiomorphs. Subsequently, the Kantian puzzle concerning enantiomorphs in space is reviewed to introduce a number of positions concerning enantiomorphy, and to arrive at a dilemma: one must either reject that orientations of enantiomorphs are determinate, or furnish space or objects with orientation. The discussion on space is then used to derive two problems in the debate on the direction of time. First, it is shown that cert…Read more

264Learning juror competence: a generalized Condorcet Jury TheoremPolitics, Philosophy and Economics 10 (3): 237262. 2011.This article presents a generalization of the Condorcet Jury Theorem. All results to date assume a fixed value for the competence of jurors, or alternatively, a fixed probability distribution over the possible competences of jurors. In this article, we develop the idea that we can learn the competence of the jurors by the jury vote. We assume a uniform prior probability assignment over the competence parameter, and we adapt this assignment in the light of the jury vote. We then compute the poste…Read more

557An inductive logic is a system of inference that describes the relation between propositions on data, and propositions that extend beyond the data, such as predictions over future data, and general conclusions on all possible data. Statistics, on the other hand, is a mathematical discipline that describes procedures for deriving results about a population from sample data. These results include predictions on future samples, decisions on rejecting or accepting a hypothesis about the population, …Read more

45Hypotheses and inductive predictionsSynthese 141 (3). 2004.This paper studies the use of hypotheses schemes in generatinginductive predictions. After discussing Carnap–Hintikka inductive logic,hypotheses schemes are defined and illustrated with two partitions. Onepartition results in the Carnapian continuum of inductive methods, the otherresults in predictions typical for hasty generalization. Following theseexamples I argue that choosing a partition comes down to making inductiveassumptions on patterns in the data, and that by choosing appropriately an…Read more

27Book review of Maria Carla Galavotti's "Philosophical Introduction to Probability" (review)Studies in History and Philosophy of Science Part B: Studies in History and Philosophy of Modern Physics 39 (1): 225228. 2008.