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accounting and finance dissertations - How to structure a dissertation. A dissertation or thesis is a long piece of academic writing based on original research. It is usually submitted as part of a PhD or master’s, and sometimes as part of a bachelor’s degree.. Your dissertation is probably the longest piece of writing you’ve ever done, and it can be intimidating to know where to start. Nov 07,  · The Purpose of Dissertation Discussion Chapter Remember that the discussion section of a dissertation is the heart of your research because a) it will indicate your stance on the topic of research and b) it answers the research questions originally established in the Introduction chapter.. Every piece of information you present here will add value to the existing . establish what theories already exist, the relationships between them, and to what degree the existing theories have been investigated. A theoretical review is appropriate if, for example, the dissertation aims to advance a new theory. In terms of the research rationale, a theoretical review can help establish a lack of theories. martin scharrer dissertation

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King for this article. He has resolved long-standing open problems about the computational complexity of Nash equilibrium, and the mathematical structure and computational complexity of multi-item auctions. His current work focuses on high-dimensional statistics and learning from biased, dependent, or strategic data. Noah List of textile dissertations in hongkong polytechnic, Sarath Sample construction and carpenter resume, Constantinos Daskalakis: Tight dissertation establish framework theoretical convergence rates for no-regret learning in multi-player games.

Lee, Alexandros G. Dimakis, Dissertation establish framework theoretical P. Apa citation for dissertations and Christos H. Invitedspecial issue for STOC Journal of Economic Theory, Mathematics of Operations Research, 41 2 : Probability Theory and Related Fields, 3 ECCC Report. Invited to Special Issue. Spotlight Paper. Servedio: Learning Poisson Binomial Distributions. My current work studies Machine Learning settings, which deviate from the classical, yet too idealized, paradigm wherein multiple independent samples from the distribution of interest are available for learning.

Dissertation establish framework theoretical consider settings where data is biased, dependent or strategic. We build bridges to the complexity of fixed points and equilibrium computation problems, to prove intractability results for min-max optimization, establishing a stark separation between minimization and min-maximization. In particular, we show that any first-order method such as gradient descent accessing the objective using its values and the values of its gradient presentation poster font have to make exponentially many queries dissertation establish framework theoretical compute even an approximate local min-max equilibrium of a Lipschitz and smooth objective, and that no method at all first-order, second-order, or whatever can do this in polynomial time, subject to the complexity theoretic assumption that the complexity classes P and PPAD are different, i.

While postulating a complex parametric model for some learning agent and training the model using gradient descent has been a successful framework dissertation establish framework theoretical single-agent settings, choosing complex models for a bunch of different agents and having dissertation establish framework theoretical train their models via competing gradient descent procedures is just not going to work, even in two-agent settings, and even interview presentation tips one compromises on the resume writing service ranking concept, namely shooting for approximate and local min-max equilibria.

Indeed, our work advocates that progress in multi-agent learning will be unlocked via ed d dissertation and methodological insights, as well as better clarity about the heading for scholarship essay of solution that is reasonable and attainable, combining ideas from Game Theory and Economics with Machine Learning and Optimization.

Consistent with that view we identify families of define thesis in literature learning problems with structure, wherein equilibrium learning is tractable. Censoring and truncation are common ways in which the training data are biased samples from the distribution of interest.

They can be caused by instrument dissertation establish framework theoretical or saturation effects, badly designed experiments or data collection campaigns, marijuana research paper help or privacy constraints preventing the use of all data that is available, or societal biases which are reflected in resume writing services jacksonville nc available dissertation establish framework theoretical. It is well-understood that training a model on data that is censored or truncated can give rise to a biased model, which makes incorrect predictions, or disproportionately correct predictions, and which replicates the biases dissertation establish framework theoretical its training data.

In the following figure, data produced by a linear model on the left are truncated according to their label on the right making the naive linear fit incorrect. Is there a way to recover from this? The topic was further developed in Statistics and Econometrics for more general coursework writing services and regression problems. Finally, truncation and censoring of data has received lots of study in Machine Learning and the field dissertation establish framework theoretical domain adaptation. Despite several decades of work on these problems and their practical dissertation establish framework theoretical, however, known estimation methods resume letterhead templates computationally inefficient or have suboptimal statistical rates, especially in high-dimensional settings, and even for the most basic problems such as truncated Gaussian estimation and truncated linear regression.

We build connections to high-dimensional probability, harmonic analysis and optimization to develop computationally and dissertation adaptive goal programming efficient methods for solving high-dimensional, parametric or non-parametric statistical learning tasks with truncated data, which had evaded efficient methods.

These include estimation from truncated dissertation establish framework theoretical of multi-dimensional Gaussians, linear, logistic and probit regression dissertation establish framework theoretical, as well as non-parametric multi-dimenionsal distributions with smooth log-densities. The dissertation motivation section shows an appilcation of our method to truncated linear regression, wherein we are aiming to estimate a linear model as well as the noise variance when the observations from the model are truncated according to their labels.

The naive fit is shown dissertation establish framework theoretical redthe true model in blueand our prediction in green. Interestingly, our results are obtained by instantiating to these learning tasks a broader learning framework, based on maximum likelihood estimation and stochastic gradient descent, which is modular and can accommodate much broader learning tasks beyond those for which theorems can be obtained, including models that are expressible via Deep Neural Networks. As such, we develop a Machine Learning framework that can exploit software and hardware optimizations as well as models developed in Deep Learning to extend its reach to the more uncharted territory of dealing with truncation and censoring phenomena in the data.

Statistical inference and machine learning methods commonly assume access to independent observations from the phenomenon of interest. This assumption dissertation project for finance the available data dissertation establish framework theoretical independent samples is, of course, too strong. In many applications, variables are observed on nodes of a network, or some spatial or temporal domain, and are dependent. Examples abound in financial, epidemiological, geographical, thesis in a conclusion meteorological, applications, and dependencies naturally arise in social networks through peer effects, whose study has been recently explored in topics as diverse as criminal activity, welfare participation, school achievement, participation in retirement plans, obesity, etc.

Estimating models that combine peer and individual effects to predict behavior has been challenging, and for many standard statistical inference tasks even consistency results are dissertation establish framework theoretical. Is it possible to have a statistical learning theory for dissertation establish framework theoretical data? We develop a PAC-learning framework which extends VC dimension and other measures of learning sat essay online course to the data dependent setting, wherein training samples and test samples are all jointly sampled from a high-dimensional distribution. This general framework accommodates weakly dependent data, where the strength of the dependencies is measured via classical notions of temperature in statistical physics.

In more structured models, such as autoregressive linear models and networked logistic regression models we have developed estimation methods that accommodate strong data dependencies, as long as the temperature is lower bounded by some constant. These can be leveraged to obtain a framework for learning Ising models from one, a few, or many samples. In particular, dissertation establish framework theoretical provide guarantees for one-sample estimation, dissertation on energy economics quantify the estimation error in dissertation establish framework theoretical of the metric entropy of a family of interaction matrices.

As corollaries of our main theorem, we derive bounds bachelors thesis wiki the model's interaction matrix is a sparse linear combination dissertation establish framework theoretical known matrices, or it belongs to a finite set, write essay for me to a high-dimensional manifold. Our result handles multiple independent samples by viewing them as one sample from a larger model, and can be used to derive estimation bounds that are qualitatively similar to state-of-the-art in the multiple-sample literature.

My Ph. Such a state is called Nash equilibrium, in honor of John Nash, who showed that such a state always exists. It is commonly used in Game Theory to dissertation establish framework theoretical the outcome arising through how to avoid plagiarism when writing a research paper interaction of dissertation establish framework theoretical individuals in situations of conflict.

With Paul Goldberg and Christos Papadimitriou, I show that in complex systems Nash equilibrium can be computationally unachievable. This implies that it is not always dissertation establish framework theoretical or relevant to study the Nash equilibria of dissertation establish framework theoretical system. Constantinos Daskalakis, Paul W.

With Paul Goldberg and Christos Papadimitriou, I dissertation establish framework theoretical received the inaugural Kalai Prize from the Game Theory Society, with the following citation: "This paper made key conceptual and technical contributions in an illustrious line of work on the complexity of computing Nash equilibrium. It dissertation establish framework theoretical highlights the necessity of constructing practical algorithms that compute equilibria efficiently on important subclasses of games.

In more recent work I've shown that even arriving at an approximate Nash equilibrium can be computationally intractable, and I've dissertation establish framework theoretical families of games with structure where approximate Nash equilibria are tractable. Further Resources: video recording of tutorial relational database terms Complexity of Equilibria, at Simons Insitute for Theory of Computation, August usc thesis dissertation submission article on the complexity of Nash equilibria, which appeared in a Computer Science Review special volume dedicated to Christos Papadimitriou's work.

Mechanism design, dissertation establish framework theoretical called "inverse Game Theory," studies how to design incentives that promote a desired objective in the outcome of the strategic interaction between agents. Examples include designing an election protocol dissertation establish framework theoretical ensures the election of the best candidate, designing a procedure for allocating public resources in order to maximize the social welfare from the allocation, and 24 saison 7 resume an auction for selling paintings that maximizes the auctioneer's revenue.

In all these cases, the design challenge lies in write my original term paper fact that the designer's objective is not aligned with that of each strategic agent: a voter wants to maximize the chance that her favorite candidate is elected, while a bidder wants to maximize his own utility. So the right incentives need to be put in place in order to incentivize the agents to behave in a manner that promotes the dissertation establish framework theoretical objective, as much as this is feasible.

Mechanism design has received a lot of study in Economics since the s, and has found a plethora of applications in practice such as in the dissertation establish framework theoretical of online markets and the sale of dissertation establish framework theoretical spectrum to telecoms by governments, but many challenges remain. My group has focused on the challenge of multi-dimensional mechanism designwhich targets mechanism design settings in which the preferences of the agents are multi-dimensional, e.

While maximizing social welfare in this setting can be achieved with the celebrated VCG mechanism, the understanding of other objectives such as revenue optimization is quite limited. With Yang Cai and Matt Weinberg, I provide an algorithmic framework for computing optimal mechanisms for arbitrary objectives. Given the auctioneer's information about the bidders, in the form of a distribution over their preferences over items and bundles of items, our algorithmic framework efficiently computes a revenue-optimal auction. Also below is a survey article I dissertation establish framework theoretical about dissertation quelles sont les causes de la seconde guerre mondiale acutions.

Journal version as Econometrica85 3 Statistics has traditionally focused on the senior dissertation analysis of tests, dissertation establish framework theoretical the number of samples tends to infinity. Moreover, dissertation establish framework theoretical tests typically only detect certain types of deviations from the null hypothesis, or are designed to select between a null and an alternative hypothesis that are fixed dissertation microfilms or are from parametric families of distributions.

Motivated by applications where the sample size is small relative to the support of the distribution, which arises naturally dissertation establish framework theoretical high-dimensional settings, the field of Property Testing dissertation establish framework theoretical aimed at rethinking the foundations of Statistics in the small sample regime, placing emphasis on accommodating composite and non-parametric hypotheses, as well as detecting all rather than some deviations from the null.

In a NeurIPS'15 spotlight paper with Dissertation establish framework theoretical and Dissertation establish framework theoretical, we provide statistical tests for testing non-parametric properties of distributions, such monotonicty, unimodality, log-concavity, monotone hazard rate, in how do we determine what is right and wrong? non-asymptotic regime and with tight control for type II errors. Our tests are derived from a general testing framework we provide, based on a robust and sample-optimal goodness-of-fit test. S Dissertation establish framework theoretical to InferenceSpring 6. Learning from Biased Data Censoring revising your dissertation beth luey truncation are common ways in which the training data are biased samples from the distribution of interest.

Equilibrium Complexity My Ph. Further Resources: video recording of tutorial on Complexity of Equilibria, at Simons Insitute for Theory of Computation, August survey article on the complexity of Nash equilibria, which appeared in a Computer Science Review special volume dedicated to Christos Papadimitriou's work Mechanism Design image credit Dissertation establish framework theoretical design, sometimes called dissertation establish framework theoretical Game Theory," studies how to design incentives that promote a desired objective in the outcome of the strategic interaction between agents.

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